Valid HTML 4.0! Valid CSS!
%%% -*-BibTeX-*-
%%% ====================================================================
%%%  BibTeX-file{
%%%     author          = "Nelson H. F. Beebe",
%%%     version         = "2.14",
%%%     date            = "30 November 2022",
%%%     time            = "07:24:40 MDT",
%%%     filename        = "jstatsoft.bib",
%%%     address         = "University of Utah
%%%                        Department of Mathematics, 110 LCB
%%%                        155 S 1400 E RM 233
%%%                        Salt Lake City, UT 84112-0090
%%%                        USA",
%%%     telephone       = "+1 801 581 5254",
%%%     FAX             = "+1 801 581 4148",
%%%     URL             = "http://www.math.utah.edu/~beebe",
%%%     checksum        = "48063 37430 143518 1562504",
%%%     email           = "beebe at math.utah.edu, beebe at acm.org,
%%%                        beebe at computer.org (Internet)",
%%%     codetable       = "ISO/ASCII",
%%%     keywords        = "BibTeX; bibliography; Journal of
%%%                        Statistical Software",
%%%     license         = "public domain",
%%%     supported       = "yes",
%%%     docstring       = "This is a COMPLETE bibliography of the
%%%                        Journal of Statistical Software (CODEN
%%%                        JSSOBK, ISSN 1548-7660).
%%%
%%%                        From 1996 to 2005, the journal was published
%%%                        electronically at the Department of
%%%                        Statistics, University of California, Los
%%%                        Angeles and had a World-Wide Web site at
%%%
%%%                            http://www.jstatsoft.org/
%%%                            http://www.stat.ucla.edu/journals/jss/
%%%
%%%                        In late 2005, the journal moved under the
%%%                        American Statistical Association, with a Web
%%%                        site link from
%%%
%%%                            http://www.amstat.org/publications/index.cfm?fuseaction=main
%%%
%%%                        to the original Web site.
%%%
%%%                        In 2015, editorial and journal production
%%%                        moved again, to the Foundation for Open
%%%                        Access Statistics, with the new Web site
%%%                        (which links back to the original)
%%%
%%%                            http://www.foastat.org/jss.html
%%%
%%%                        At version 2.14, the year coverage looked
%%%                        like this:
%%%
%%%                             1996 (   4)    2005 (  49)    2014 (  94)
%%%                             1997 (   9)    2006 (  39)    2015 ( 111)
%%%                             1998 (   4)    2007 (  81)    2016 ( 105)
%%%                             1999 (   6)    2008 (  62)    2017 ( 101)
%%%                             2000 (   8)    2009 (  73)    2018 (  87)
%%%                             2001 (   8)    2010 (  85)    2019 (  50)
%%%                             2002 (  13)    2011 ( 113)    2020 (  74)
%%%                             2003 (  22)    2012 (  92)    2021 (  28)
%%%                             2004 (  23)    2013 (  59)
%%%
%%%                             Article:       1397
%%%                             InProceedings:    1
%%%                             Misc:             1
%%%                             Proceedings:      1
%%%
%%%                             Total entries: 1400
%%%
%%%                        In late 2002, the journal Web site carries
%%%                        notice of a plan to be absorbed into the
%%%                        Journal of Computational and Graphical
%%%                        Statistics (no CODEN, ISSN 1061-8600),
%%%                        published by the American Statistical
%%%                        Association.  That journal is covered in a
%%%                        companion bibliography, jcomputgraphstat.bib.
%%%
%%%                        The journal is unusual in that each article
%%%                        constitutes one issue, and no page numbers
%%%                        are available if only an HTML form of the
%%%                        article is available.
%%%
%%%                        Entries in this bibliography have been
%%%                        derived almost entirely from data at the
%%%                        journal Web site.
%%%
%%%                        After the release of version 1.34 of this
%%%                        bibliography, DOI (Digital Object Identifier)
%%%                        values were added to every entry, and the
%%%                        version number was advanced to 2.00.  In
%%%                        addition, the new DOI values were then used
%%%                        at the doi.org site to retrieve BibTeX
%%%                        entries that were merged into this file.
%%%                        That operation revealed hundreds of
%%%                        discrepancies in author and title data that
%%%                        had to be resolved by downloading and viewing
%%%                        their article PDF files.
%%%
%%%                        At version 2.00, more than 665 entries
%%%                        contain xxtitle values, most without further
%%%                        markup; they correspond to titles from
%%%                        lookups at the doi.org site. They should
%%%                        eventually be matched against the normal
%%%                        title values, and any discrepancies should be
%%%                        resolved by consulting the article PDF files.
%%%                        The xxtitle fields can then be removed.
%%%
%%%                        Spelling has been verified with the UNIX
%%%                        spell and GNU ispell programs using the
%%%                        exception dictionary stored in the companion
%%%                        file with extension .sok.
%%%
%%%                        BibTeX citation tags are uniformly chosen as
%%%                        name:year:abbrev, where name is the family
%%%                        name of the first author or editor, year is a
%%%                        4-digit number, and abbrev is a 3-letter
%%%                        condensation of important title
%%%                        words. Citation tags were automatically
%%%                        generated by software developed for the
%%%                        BibNet Project.
%%%
%%%                        In this bibliography, entries are sorted
%%%                        in publication order.
%%%
%%%                        The checksum field above contains a CRC-16
%%%                        checksum as the first value, followed by the
%%%                        equivalent of the standard UNIX wc (word
%%%                        count) utility output of lines, words, and
%%%                        characters.  This is produced by Robert
%%%                        Solovay's checksum utility.",
%%%  }
%%% ====================================================================
@Preamble{
    "\ifx \undefined \booktitle \def \booktitle #1{{{\em #1}}} \fi" #
    "\ifx \undefined \circled   \def \circled   #1{(#1)}       \fi" #
    "\ifx \undefined \fun       \def \fun       #1{{{\tt #1}}} \fi" #
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    "\ifx \undefined \reg       \def \reg       {\circled{R}}  \fi" #
    "\ifx \undefined \textfrak  \def \textfrak  #1{$\cal #1$}  \fi" #
    "\ifx \undefined \textrm    \def \textrm    #1{{\rm  #1}}  \fi" #
    "\ifx \undefined \url       \def \url       #1{{\tt #1}}   \fi"
}

%%% ====================================================================
%%% Acknowledgement abbreviations:
@String{ack-nhfb = "Nelson H. F. Beebe,
                    University of Utah,
                    Department of Mathematics, 110 LCB,
                    155 S 1400 E RM 233,
                    Salt Lake City, UT 84112-0090, USA,
                    Tel: +1 801 581 5254,
                    FAX: +1 801 581 4148,
                    e-mail: \path|beebe@math.utah.edu|,
                            \path|beebe@acm.org|,
                            \path|beebe@computer.org| (Internet),
                    URL: \path|http://www.math.utah.edu/~beebe/|"}

%%% ====================================================================
%%% Journal abbreviations:
@String{j-J-STAT-SOFT           = "Journal of Statistical Software"}

@String{j-SIGPLAN               = "ACM SIG{\-}PLAN Notices"}

@String{j-TOMACS                = "ACM Transactions on Modeling and
                                  Computer Simulation"}

@String{j-TOMS                  = "ACM Transactions on Mathematical Software"}

%%% ====================================================================
%%% Publisher abbreviations:
@String{pub-ACM                 = "ACM Press"}
@String{pub-ACM:adr             = "New York, NY 10036, USA"}

@String{pub-IEEE                = "IEEE Computer Society Press"}
@String{pub-IEEE:adr            = "1109 Spring Street, Suite 300, Silver
                                  Spring, MD 20910, USA"}

%%% ====================================================================
%%% Bibliography entries:
@Article{Barry:1996:DAF,
  author =       "Ronald Barry",
  title =        "A Diagnostic to Assess the Fit of a Variogram Model to
                 Spatial Data",
  journal =      j-J-STAT-SOFT,
  volume =       "1",
  number =       "1",
  pages =        "1--11",
  month =        "????",
  year =         "1996",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v001.i01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v01/i01;
                 http://www.jstatsoft.org/v01/i01/barry.pdf;
                 http://www.jstatsoft.org/v01/i01/code.txt;
                 http://www.jstatsoft.org/v01/i01/updates",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Bond:1996:HAX,
  author =       "Jason Bond and George Michailides",
  title =        "Homogeneity Analysis in {Xlisp--Stat}",
  journal =      j-J-STAT-SOFT,
  volume =       "1",
  number =       "2",
  pages =        "??--??",
  month =        "????",
  year =         "1996",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v001.i02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v01/i02;
                 http://www.jstatsoft.org/v01/i02/code_old.phtml;
                 http://www.jstatsoft.org/v01/i02/data.phtml;
                 http://www.jstatsoft.org/v01/i02/PAPER/paper.html;
                 http://www.jstatsoft.org/v01/i02/updates",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Lumley:1996:XST,
  author =       "Thomas Lumley",
  title =        "{XLISP--Stat} Tools for Building Generalised
                 Estimating Equation Models",
  journal =      j-J-STAT-SOFT,
  volume =       "1",
  number =       "3",
  pages =        "??--??",
  month =        "????",
  year =         "1996",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v001.i03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v01/i03;
                 http://www.jstatsoft.org/v01/i03/code/;
                 http://www.jstatsoft.org/v01/i03/data/;
                 http://www.jstatsoft.org/v01/i03/paper/geejss/geejss.html;
                 http://www.jstatsoft.org/v01/i03/updates",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Struyf:1996:COO,
  author =       "Anja Struyf and Mia Hubert and Peter Rousseeuw",
  title =        "Clustering in an Object-Oriented Environment",
  journal =      j-J-STAT-SOFT,
  volume =       "1",
  number =       "4",
  pages =        "1--30",
  month =        "????",
  year =         "1996",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v001.i04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v01/i04;
                 http://www.jstatsoft.org/v01/i04/code/;
                 http://www.jstatsoft.org/v01/i04/data/;
                 http://www.jstatsoft.org/v01/i04/paper/clus.pdf;
                 http://www.jstatsoft.org/v01/i04/updates",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{deLeeuw:1997:SSS,
  author =       "Jan de Leeuw",
  title =        "Server-side Statistics Scripting in {PHP}",
  journal =      j-J-STAT-SOFT,
  volume =       "2",
  number =       "1",
  pages =        "1--13",
  month =        "????",
  year =         "1997",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v002.i01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v02/i01;
                 http://www.jstatsoft.org/v02/i01/code/;
                 http://www.jstatsoft.org/v02/i01/Dstatistics/;
                 http://www.jstatsoft.org/v02/i01/statistics.pdf;
                 http://www.jstatsoft.org/v02/i01/statistics.ps;
                 http://www.jstatsoft.org/v02/i01/statistics/statistics.html;
                 http://www.jstatsoft.org/v02/i01/updates",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Brown:1997:APL,
  author =       "Barry W. Brown and James Lovato and Kathy Russell",
  title =        "The {Asypow S(plus)} Library for Asymptotic Power
                 Calculations",
  journal =      j-J-STAT-SOFT,
  volume =       "2",
  number =       "2",
  pages =        "1--21",
  month =        "????",
  year =         "1997",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v002.i02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v02/i02;
                 http://www.jstatsoft.org/v02/i02/asypow-2.1.tar.Z;
                 http://www.jstatsoft.org/v02/i02/dist;
                 http://www.jstatsoft.org/v02/i02/docs/asypow.pdf;
                 http://www.jstatsoft.org/v02/i02/docs/asypow.ps.gz;
                 http://www.jstatsoft.org/v02/i02/docs/asypow/;
                 http://www.jstatsoft.org/v02/i02/docs/cheat.pdf;
                 http://www.jstatsoft.org/v02/i02/docs/cheat.ps.gz;
                 http://www.jstatsoft.org/v02/i02/docs/cheat/;
                 http://www.jstatsoft.org/v02/i02/updates",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{West:1997:SAW,
  author =       "R. Webster West and R. Todd Ogden",
  title =        "Statistical Analysis with {Webstat}, {Java} applet for
                 the {World Wide Web}",
  journal =      j-J-STAT-SOFT,
  volume =       "2",
  number =       "3",
  pages =        "1--7",
  month =        "????",
  year =         "1997",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v002.i03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v02/i03;
                 http://www.jstatsoft.org/v02/i03/HTML/;
                 http://www.jstatsoft.org/v02/i03/updates;
                 http://www.jstatsoft.org/v02/i03/webstat.pdf;
                 http://www.jstatsoft.org/v02/i03/webstat.ps",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Peterson:1997:CCP,
  author =       "Leif E. Peterson",
  title =        "{COVAR}: Computer Program for Multifactor Relative
                 Risks and Tests of Hypotheses Using a
                 Variance-Covariance Matrix from Linear and Log-Linear
                 Regression",
  journal =      j-J-STAT-SOFT,
  volume =       "2",
  number =       "4",
  pages =        "1--21",
  month =        "????",
  year =         "1997",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v002.i04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v02/i04;
                 http://www.jstatsoft.org/v02/i04/covar.pdf;
                 http://www.jstatsoft.org/v02/i04/updates",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Peterson:1997:PPI,
  author =       "Leif E. Peterson",
  title =        "{PIRLS}: {Poisson Iteratively Reweighted Least
                 Squares} Computer Program for Additive, Multiplicative,
                 Power, and Non-linear Models",
  journal =      j-J-STAT-SOFT,
  volume =       "2",
  number =       "5",
  pages =        "1--28",
  month =        "????",
  year =         "1997",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v002.i05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v02/i05;
                 http://www.jstatsoft.org/v02/i05/code/;
                 http://www.jstatsoft.org/v02/i05/pirls.pdf;
                 http://www.jstatsoft.org/v02/i05/pirls.ps.gz;
                 http://www.jstatsoft.org/v02/i05/pirls/;
                 http://www.jstatsoft.org/v02/i05/updates",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Cook:1997:CYE,
  author =       "Dianne Cook",
  title =        "Calibrate Your Eyes to Recognize High-Dimensional
                 Shapes from Their Low-Dimensional Projections",
  journal =      j-J-STAT-SOFT,
  volume =       "2",
  number =       "6",
  pages =        "1--7",
  month =        "????",
  year =         "1997",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v002.i06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v02/i06;
                 http://www.jstatsoft.org/v02/i06/paper.pdf;
                 http://www.jstatsoft.org/v02/i06/paper.ps.gz;
                 http://www.jstatsoft.org/v02/i06/paper/code.html;
                 http://www.jstatsoft.org/v02/i06/paper/data;
                 http://www.jstatsoft.org/v02/i06/paper/paper.html;
                 http://www.jstatsoft.org/v02/i06/updates",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{McLachlan:1997:AFM,
  author =       "Geoff McLachlan and Angus Ng and Peter Adams and David
                 McGiffin and Andrew Gailbraith",
  title =        "An Algorithm for Fitting Mixtures of {Gompertz}
                 Distributions to Censored Survival Data",
  journal =      j-J-STAT-SOFT,
  volume =       "2",
  number =       "7",
  pages =        "1--23",
  month =        "????",
  year =         "1997",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v002.i07",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v02/i07;
                 http://www.jstatsoft.org/v02/i07/0010.pdf;
                 http://www.jstatsoft.org/v02/i07/0010.ps.gz;
                 http://www.jstatsoft.org/v02/i07/code/;
                 http://www.jstatsoft.org/v02/i07/updates",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Bond:1997:ICA,
  author =       "Jason Bond and George Michailides",
  title =        "Interactive Correspondence Analysis in a Dynamic
                 Object-Oriented Environment",
  journal =      j-J-STAT-SOFT,
  volume =       "2",
  number =       "8",
  pages =        "1--30",
  month =        "????",
  year =         "1997",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v002.i08",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v02/i08;
                 http://www.jstatsoft.org/v02/i08/jss.pdf;
                 http://www.jstatsoft.org/v02/i08/jss.ps.gz;
                 http://www.jstatsoft.org/v02/i08/texstuff/jss/;
                 http://www.jstatsoft.org/v02/i08/updates;
                 http://www.jstatsoft.org/v02/i08/xlisp-anacor.lsp;
                 http://www.jstatsoft.org/v02/i08/xlisp-anacor.xli",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Bois:1997:MMC,
  author =       "Fre{\'e}d{\'e}ric Y. Bois and Don R. Maszle",
  title =        "{MCSim}: a {Monte Carlo} Simulation Program",
  journal =      j-J-STAT-SOFT,
  volume =       "2",
  number =       "9",
  pages =        "1--60",
  month =        "????",
  year =         "1997",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v002.i09",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v02/i09;
                 http://www.jstatsoft.org/v02/i09/mcsim/doc/mcsim.html;
                 http://www.jstatsoft.org/v02/i09/mcsim/doc/mcsim.pdf;
                 http://www.jstatsoft.org/v02/i09/mcsim/doc/mcsim.ps;
                 http://www.jstatsoft.org/v02/i09/mcsim/sim;
                 http://www.jstatsoft.org/v02/i09/updates",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Boik:1998:DIB,
  author =       "Robert J. Boik and James F. Robison-Cox",
  title =        "Derivatives of the Incomplete Beta Function",
  journal =      j-J-STAT-SOFT,
  volume =       "3",
  number =       "1",
  pages =        "1--20",
  month =        "????",
  year =         "1998",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v003.i01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v03/i01;
                 http://www.jstatsoft.org/v03/i01/beta.der.pdf;
                 http://www.jstatsoft.org/v03/i01/beta.der.ps.gz;
                 http://www.jstatsoft.org/v03/i01/code/;
                 http://www.jstatsoft.org/v03/i01/updates",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Lumley:1998:SAX,
  author =       "Thomas Lumley",
  title =        "Survival Analysis in {XLISP--Stat}. {A} semiliterate
                 program",
  journal =      j-J-STAT-SOFT,
  volume =       "3",
  number =       "2",
  pages =        "1--90",
  month =        "????",
  year =         "1998",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v003.i02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v03/i02;
                 http://www.jstatsoft.org/v03/i02/code/;
                 http://www.jstatsoft.org/v03/i02/coxregdoc.pdf;
                 http://www.jstatsoft.org/v03/i02/coxregdoc.ps.gz;
                 http://www.jstatsoft.org/v03/i02/survival.tar.gz;
                 http://www.jstatsoft.org/v03/i02/updates",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  keywords =     "noweb",
}

@Article{Marsaglia:1998:MPM,
  author =       "George Marsaglia and Wai Wan Tsang",
  title =        "The {Monty Python} Method for Generating Gamma
                 Variables",
  journal =      j-J-STAT-SOFT,
  volume =       "3",
  number =       "3",
  pages =        "1--8",
  month =        "????",
  year =         "1998",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v003.i03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/bibnet/authors/m/marsaglia-george.bib;
                 http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v03/i03;
                 http://www.jstatsoft.org/v03/i03/GERMGAM.PDF;
                 http://www.jstatsoft.org/v03/i03/GERMGAM.PS;
                 http://www.jstatsoft.org/v03/i03/updates",
  abstract =     "The Monty Python Method for generating random
                 variables takes a decreasing density, cuts it into
                 three pieces, then, using area-preserving
                 transformations, folds it into a rectangle of area $1$.
                 A random point $ (x, y)$ from that rectangle is used to
                 provide a variate from the given density, most of the
                 time as $x$ itself or a linear function of $x$. The
                 decreasing density is usually the right half of a
                 symmetric density.\par

                 The Monty Python method has provided short and fast
                 generators for normal, $t$ and von Mises densities,
                 requiring, on the average, from $ 1.5$ to $ 1.8$
                 uniform variables. In this article, we apply the method
                 to non-symmetric densities, particularly the important
                 gamma densities. We lose some of the speed and
                 simplicity of the symmetric densities, but still get a
                 method for variates that is simple and fast enough to
                 provide beta variates in the form $ \gamma_a =
                 (\gamma_a + \gamma_b)$. We use an average of less than
                 $ 1.7$ uniform variates to produce a gamma variate
                 whenever $ \alpha \geq 1$. Implementation is simpler
                 and from three to five times as fast as a recent method
                 reputed to be the best for changing $ \alpha $ s.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Somerville:1998:FPE,
  author =       "Paul N. Somerville",
  title =        "A {Fortran 90} Program for Evaluation of Multivariate
                 Normal and Multivariate $t$ Integrals Over Convex
                 Regions",
  journal =      j-J-STAT-SOFT,
  volume =       "3",
  number =       "4",
  pages =        "1--10",
  month =        "????",
  year =         "1998",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v003.i04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v03/i04;
                 http://www.jstatsoft.org/v03/i04/mvi3.for;
                 http://www.jstatsoft.org/v03/i04/somerville.pdf;
                 http://www.jstatsoft.org/v03/i04/somerville.ps;
                 http://www.jstatsoft.org/v03/i04/updates;
                 http://www.jstatsoft.org/v03/i04/winmvi3.exe",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Banfield:1999:RWB,
  author =       "Jeff Banfield",
  title =        "{Rweb}: {Web}-based Statistical Analysis",
  journal =      j-J-STAT-SOFT,
  volume =       "4",
  number =       "1",
  pages =        "1--15",
  month =        "????",
  year =         "1999",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v004.i01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v04/i01;
                 http://www.jstatsoft.org/v04/i01/Rweb.pdf;
                 http://www.jstatsoft.org/v04/i01/Rweb.ps;
                 http://www.jstatsoft.org/v04/i01/Rweb.tar.gz;
                 http://www.jstatsoft.org/v04/i01/Rweb/Rweb.html;
                 http://www.jstatsoft.org/v04/i01/updates",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{McLachlan:1999:EAF,
  author =       "Geoff J. McLachlan and David Peel",
  title =        "The {EMMIX} Algorithm for the Fitting of Normal and
                 $t$-Components",
  journal =      j-J-STAT-SOFT,
  volume =       "4",
  number =       "2",
  pages =        "1--14",
  month =        "????",
  year =         "1999",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v004.i02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v04/i02;
                 http://www.jstatsoft.org/v04/i02/emmix.tar.gz;
                 http://www.jstatsoft.org/v04/i02/guide.pdf;
                 http://www.jstatsoft.org/v04/i02/paper.pdf;
                 http://www.jstatsoft.org/v04/i02/updates;
                 http://www.maths.uq.edu.au/~gjm/emmix/emmix.html",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Doss:1999:DDC,
  author =       "Hani J. Doss and Balasubramanian Narasimhan",
  title =        "Dynamic Display of Changing Posterior in {Bayesian}
                 Survival Analysis: The Software",
  journal =      j-J-STAT-SOFT,
  volume =       "4",
  number =       "3",
  pages =        "1--72",
  month =        "????",
  year =         "1999",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v004.i03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v04/i03;
                 http://www.jstatsoft.org/v04/i03/bsa.pdf;
                 http://www.jstatsoft.org/v04/i03/bsa.tgz;
                 http://www.jstatsoft.org/v04/i03/ddg.pdf;
                 http://www.jstatsoft.org/v04/i03/example/;
                 http://www.jstatsoft.org/v04/i03/html/bsa.html;
                 http://www.jstatsoft.org/v04/i03/lisp/;
                 http://www.jstatsoft.org/v04/i03/updates",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Dunn:1999:GUI,
  author =       "Peter Dunn",
  title =        "A Graphical User Interface to Generalized Linear
                 Models in {MATLAB}",
  journal =      j-J-STAT-SOFT,
  volume =       "4",
  number =       "4",
  pages =        "1--25",
  month =        "????",
  year =         "1999",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v004.i04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/matlab.bib",
  URL =          "http://www.jstatsoft.org/v04/i04;
                 http://www.jstatsoft.org/v04/i04/guiglm.pdf;
                 http://www.jstatsoft.org/v04/i04/updates",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Hedeker:1999:MCP,
  author =       "Donald Hedeker",
  title =        "{MIXNO}: a computer program for mixed-effects nominal
                 logistic regression",
  journal =      j-J-STAT-SOFT,
  volume =       "4",
  number =       "5",
  pages =        "1--92",
  month =        "????",
  year =         "1999",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v004.i05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v04/i05;
                 http://www.jstatsoft.org/v04/i05/mixno102.exe;
                 http://www.jstatsoft.org/v04/i05/mixnocm.pdf;
                 http://www.jstatsoft.org/v04/i05/updates",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Jamshidian:1999:ARR,
  author =       "Mortaza Jamshidian",
  title =        "Adaptive Robust Regression by Using a Nonlinear
                 Regression Program",
  journal =      j-J-STAT-SOFT,
  volume =       "4",
  number =       "6",
  pages =        "1--25",
  month =        "????",
  year =         "1999",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v004.i06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v04/i06;
                 http://www.jstatsoft.org/v04/i06/code;
                 http://www.jstatsoft.org/v04/i06/tdistIIr1.pdf;
                 http://www.jstatsoft.org/v04/i06/updates",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Ramirez:2000:GD,
  author =       "Donald E. Ramirez",
  title =        "The Generalized {$F$} Distribution",
  journal =      j-J-STAT-SOFT,
  volume =       "5",
  number =       "1",
  pages =        "1--14",
  month =        "????",
  year =         "2000",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v005.i01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v05/i01;
                 http://www.jstatsoft.org/v05/i01/GENF.f;
                 http://www.jstatsoft.org/v05/i01/GENF.pdf;
                 http://www.jstatsoft.org/v05/i01/updates",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Wooff:2000:BLP,
  author =       "David Wooff and Michael Goldstein",
  title =        "The {Bayes} Linear Programming Language [{B/D}]",
  journal =      j-J-STAT-SOFT,
  volume =       "5",
  number =       "2",
  pages =        "1--19",
  month =        "????",
  year =         "2000",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v005.i02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://maths.dur.ac.uk/stats/bd/;
                 http://www.jstatsoft.org/v05/i02;
                 http://www.jstatsoft.org/v05/i02/blm1.pdf;
                 http://www.jstatsoft.org/v05/i02/blm2.pdf;
                 http://www.jstatsoft.org/v05/i02/blm3.pdf;
                 http://www.jstatsoft.org/v05/i02/man.pdf;
                 http://www.jstatsoft.org/v05/i02/updates",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Udina:2000:IIC,
  author =       "Frederic Udina",
  title =        "Implementing interactive computing in an
                 object-oriented environment",
  journal =      j-J-STAT-SOFT,
  volume =       "5",
  number =       "3",
  pages =        "1--20",
  month =        "????",
  year =         "2000",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v005.i03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v05/i03;
                 http://www.jstatsoft.org/v05/i03/lisp-code/;
                 http://www.jstatsoft.org/v05/i03/object-computing.pdf;
                 http://www.jstatsoft.org/v05/i03/updates",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Firth:2000:QVX,
  author =       "David Firth",
  title =        "Quasi-variances in {Xlisp--Stat} and on the {Web}",
  journal =      j-J-STAT-SOFT,
  volume =       "5",
  number =       "4",
  pages =        "1--13",
  month =        "????",
  year =         "2000",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v005.i04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v05/i04;
                 http://www.jstatsoft.org/v05/i04/code/;
                 http://www.jstatsoft.org/v05/i04/QV_man.pdf;
                 http://www.jstatsoft.org/v05/i04/updates",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Patefield:2000:FAC,
  author =       "Mike Patefield",
  title =        "Fast and Accurate Calculation of {Owen}'s {$T$}
                 Function",
  journal =      j-J-STAT-SOFT,
  volume =       "5",
  number =       "5",
  pages =        "1--25",
  month =        "????",
  year =         "2000",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v005.i05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v05/i05;
                 http://www.jstatsoft.org/v05/i05/t.f;
                 http://www.jstatsoft.org/v05/i05/t.pdf;
                 http://www.jstatsoft.org/v05/i05/updates",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{May:2000:CTS,
  author =       "Warren L. May and William D. Johnson",
  title =        "Constructing two-sided simultaneous confidence
                 intervals for multinomial proportions for small counts
                 in a large number of cells",
  journal =      j-J-STAT-SOFT,
  volume =       "5",
  number =       "6",
  pages =        "1--24",
  month =        "????",
  year =         "2000",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v005.i06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v05/i06;
                 http://www.jstatsoft.org/v05/i06/sison5.sas;
                 http://www.jstatsoft.org/v05/i06/Sisonfinal.pdf;
                 http://www.jstatsoft.org/v05/i06/updates",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Coeurjolly:2000:SIF,
  author =       "Jean-Fran{\c{c}}ois Coeurjolly",
  title =        "Simulation and identification of the fractional
                 {Brownian} motion: a bibliographical and comparative
                 study",
  journal =      j-J-STAT-SOFT,
  volume =       "5",
  number =       "7",
  pages =        "1--53",
  month =        "????",
  year =         "2000",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v005.i07",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v05/i07;
                 http://www.jstatsoft.org/v05/i07/simest.pdf;
                 http://www.jstatsoft.org/v05/i07/SimEstFBM;
                 http://www.jstatsoft.org/v05/i07/updates",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Marsaglia:2000:ZMG,
  author =       "George Marsaglia and Wai Wan Tsang",
  title =        "The ziggurat method for generating random variables",
  journal =      j-J-STAT-SOFT,
  volume =       "5",
  number =       "8",
  pages =        "1--7",
  month =        "????",
  year =         "2000",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v005.i08",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  note =         "See comment \cite{Leong:2005:CIZ}.",
  URL =          "http://www.jstatsoft.org/v05/i08;
                 http://www.jstatsoft.org/v05/i08/rnorrexp.c;
                 http://www.jstatsoft.org/v05/i08/updates;
                 http://www.jstatsoft.org/v05/i08/ziggurat.pdf",
  abstract =     "We provide a new version of our ziggurat method for
                 generating a random variable from a given decreasing
                 density. It is faster and simpler than the original,
                 and will produce, for example, normal or exponential
                 variates at the rate of 15 million per second with a C
                 version on a 400MHz PC. It uses two tables, integers $
                 k_i $ and reals $ w_i $. Some 99\% of the time, the
                 required $x$ is produced by: Generate a random 32-bit
                 integer $j$ and let $i$ be the index formed from the
                 rightmost 8 bits of $j$. If $ j < k_i$ return $ x = j
                 \times w_i$.\par

                 We illustrate with C code that provides for inline
                 generation of both normal and exponential variables,
                 with a short procedure for setting up the necessary
                 tables.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Bradley:2001:IJT,
  author =       "James W. Bradley and R. Webster West",
  title =        "Interactive {Java} Tools for Exploring
                 High-dimensional Data",
  journal =      j-J-STAT-SOFT,
  volume =       "6",
  number =       "1",
  pages =        "??--??",
  month =        "????",
  year =         "2001",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v006.i01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v06/i01;
                 http://www.jstatsoft.org/v06/i01/bradley.tar;
                 http://www.jstatsoft.org/v06/i01/bradley/index.html;
                 http://www.jstatsoft.org/v06/i01/updates",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Dayton:2001:SBS,
  author =       "C. Mitchell Dayton",
  title =        "{SUBSET}: Best Subsets using Information Criteria",
  journal =      j-J-STAT-SOFT,
  volume =       "6",
  number =       "2",
  pages =        "1--10",
  month =        "????",
  year =         "2001",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v006.i02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v06/i02;
                 http://www.jstatsoft.org/v06/i02/Code.rtf;
                 http://www.jstatsoft.org/v06/i02/SUBSET.doc;
                 http://www.jstatsoft.org/v06/i02/SUBSET.pdf;
                 http://www.jstatsoft.org/v06/i02/updates",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Berchtold:2001:MCC,
  author =       "Andre Berchtold",
  title =        "{Markov} Chain Computation for Homogeneous and
                 Non-homogeneous Data: {MARCH 1.1} Users Guide",
  journal =      j-J-STAT-SOFT,
  volume =       "6",
  number =       "3",
  pages =        "1--81",
  month =        "????",
  year =         "2001",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v006.i03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v06/i03;
                 http://www.jstatsoft.org/v06/i03/march-11-c-win.zip;
                 http://www.jstatsoft.org/v06/i03/march-11-ug.ps;
                 http://www.jstatsoft.org/v06/i03/march-ex1_0;
                 http://www.jstatsoft.org/v06/i03/march-ex2_0;
                 http://www.jstatsoft.org/v06/i03/march.tar.gz;
                 http://www.jstatsoft.org/v06/i03/march_11_ug.pdf;
                 http://www.jstatsoft.org/v06/i03/updates",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Badsberg:2001:GC,
  author =       "Jens Henrik Badsberg",
  title =        "A Guide to {CoCo}",
  journal =      j-J-STAT-SOFT,
  volume =       "6",
  number =       "4",
  pages =        "1--190",
  month =        "????",
  year =         "2001",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v006.i04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v06/i04;
                 http://www.jstatsoft.org/v06/i04/CoCo-1.5/;
                 http://www.jstatsoft.org/v06/i04/guide-JSS-1.pdf;
                 http://www.jstatsoft.org/v06/i04/PartII/;
                 http://www.jstatsoft.org/v06/i04/updates",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Somerville:2001:FSI,
  author =       "Paul N. Somerville and Frank Bretz",
  title =        "{FORTRAN 90} and {SAS-IML} Programs for Computation of
                 Critical Values for Multiple Testing and Simultaneous
                 Confidence Intervals",
  journal =      j-J-STAT-SOFT,
  volume =       "6",
  number =       "5",
  pages =        "1--14",
  month =        "????",
  year =         "2001",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v006.i05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/sas.bib",
  URL =          "http://www.jstatsoft.org/v06/i05;
                 http://www.jstatsoft.org/v06/i05/EXAMPLE/;
                 http://www.jstatsoft.org/v06/i05/FORTRAN/;
                 http://www.jstatsoft.org/v06/i05/jss2r.pdf;
                 http://www.jstatsoft.org/v06/i05/SAS/;
                 http://www.jstatsoft.org/v06/i05/updates",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Antoniadis:2001:WEN,
  author =       "Anestis Antoniadis and J{\'e}r{\'e}mie Bigot and
                 Theofanis Sapatinas",
  title =        "Wavelet Estimators in Nonparametric Regression: a
                 Comparative Simulation Study",
  journal =      j-J-STAT-SOFT,
  volume =       "6",
  number =       "6",
  pages =        "1--83",
  month =        "????",
  year =         "2001",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v006.i06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v06/i06;
                 http://www.jstatsoft.org/v06/i06/codes/;
                 http://www.jstatsoft.org/v06/i06/html-help/;
                 http://www.jstatsoft.org/v06/i06/jss057Rev.pdf;
                 http://www.jstatsoft.org/v06/i06/updates",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Scrucca:2001:NKS,
  author =       "Luca Scrucca",
  title =        "Nonparametric Kernel Smoothing Methods. The \pkg{sm}
                 library in {Xlisp--Stat}",
  journal =      j-J-STAT-SOFT,
  volume =       "6",
  number =       "7",
  pages =        "1--49",
  month =        "????",
  year =         "2001",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v006.i07",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v06/i07;
                 http://www.jstatsoft.org/v06/i07/sm-doc_r.pdf;
                 http://www.jstatsoft.org/v06/i07/sm_r.zip;
                 http://www.jstatsoft.org/v06/i07/updates",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Somerville:2001:NCM,
  author =       "Paul N. Somerville",
  title =        "Numerical Computation of Multivariate Normal and
                 Multivariate $t$ Probabilities over Ellipsoidal
                 Regions",
  journal =      j-J-STAT-SOFT,
  volume =       "6",
  number =       "8",
  pages =        "1--10",
  month =        "????",
  year =         "2001",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v006.i08",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v06/i08;
                 http://www.jstatsoft.org/v06/i08/EXAMPLE/;
                 http://www.jstatsoft.org/v06/i08/FORTRAN/;
                 http://www.jstatsoft.org/v06/i08/jss2r.pdf;
                 http://www.jstatsoft.org/v06/i08/updates",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Weisberg:2002:DRR,
  author =       "Sanford Weisberg",
  title =        "Dimension Reduction Regression in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "7",
  number =       "1",
  pages =        "1--22",
  month =        "????",
  year =         "2002",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v007.i01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v07/i01;
                 http://www.jstatsoft.org/v07/i01/dr_1.0.tar.gz;
                 http://www.jstatsoft.org/v07/i01/drdoc.pdf;
                 http://www.jstatsoft.org/v07/i01/updates",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  keywords =     "R; S-Plus",
}

@Article{Zeileis:2002:PSR,
  author =       "Achim Zeileis and Friedrich Leisch and Kurt Hornik and
                 Christian Kleiber",
  title =        "\pkg{strucchange}: an {R} package for Testing for
                 Structural Change in Linear Regression Models",
  journal =      j-J-STAT-SOFT,
  volume =       "7",
  number =       "2",
  pages =        "1--38",
  month =        "????",
  year =         "2002",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v007.i02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v07/i02;
                 http://www.jstatsoft.org/v07/i02/strucchange.pdf;
                 http://www.jstatsoft.org/v07/i02/strucchange_0.9-5.tar.gz;
                 http://www.jstatsoft.org/v07/i02/updates",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  keywords =     "R; S-Plus",
}

@Article{Marsaglia:2002:SDP,
  author =       "George Marsaglia and Wai Wan Tsang",
  title =        "Some Difficult-to-pass Tests of Randomness",
  journal =      j-J-STAT-SOFT,
  volume =       "7",
  number =       "3",
  pages =        "1--8",
  month =        "????",
  year =         "2002",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v007.i03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v07/i03;
                 http://www.jstatsoft.org/v07/i03/tuftests.c;
                 http://www.jstatsoft.org/v07/i03/tuftests.pdf;
                 http://www.jstatsoft.org/v07/i03/updates",
  abstract =     "We describe three tests of randomness --- tests that
                 many random number generators fail. In particular, all
                 congruential generators --- even those based on a prime
                 modulus --- fail at least one of the tests, as do many
                 simple generators, such as shift register and lagged
                 Fibonacci. On the other hand, generators that pass the
                 three tests seem to pass all the tests in the Diehard
                 Battery of Tests.\par

                 Note that these tests concern the randomness of a
                 generator's output as a sequence of independent,
                 uniform 32-bit integers. For uses where the output is
                 converted to uniform variates in $ [0, 1) $, potential
                 flaws of the output as integers will seldom cause
                 problems after the conversion. Most generators seem to
                 be adequate for producing a set of uniform reals in $
                 [0, 1) $, but several important applications. notably
                 in cryptography and number theory --- for example,
                 establishing probable primes, complexity of factoring
                 algorithms, random partitions of large integers --- may
                 require satisfactory performance on the kinds of tests
                 we describe here.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Warnes:2002:HJL,
  author =       "Gregory R. Warnes",
  title =        "{HYDRA}: a {Java} library for {Markov} Chain {Monte
                 Carlo}",
  journal =      j-J-STAT-SOFT,
  volume =       "7",
  number =       "4",
  pages =        "1--32",
  month =        "????",
  year =         "2002",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v007.i04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://software.biostat.washington.edu/statsoft/MCMC/Hydra;
                 http://software.biostat.washington.edu/statsoft/MCMC/Hydra/INSTALL.html;
                 http://www.jstatsoft.org/v07/i04;
                 http://www.jstatsoft.org/v07/i04/Description.pdf;
                 http://www.jstatsoft.org/v07/i04/Hydra_1.0.0.jar;
                 http://www.jstatsoft.org/v07/i04/Hydra_1.0.0.tgz;
                 http://www.jstatsoft.org/v07/i04/updates;
                 http://www.jstatsoft.org/v07/i04/UserGuide.pdf",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Lipkovich:2002:BSV,
  author =       "Ilya Lipkovich and Eric P. Smith",
  title =        "Biplot and Singular Value Decomposition Macros for
                 {Excel}{\copyright}",
  journal =      j-J-STAT-SOFT,
  volume =       "7",
  number =       "5",
  pages =        "1--15",
  month =        "????",
  year =         "2002",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v007.i05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v07/i05;
                 http://www.jstatsoft.org/v07/i05/biplot01.xla;
                 http://www.jstatsoft.org/v07/i05/BIPLOT_paper_6_6_02.doc;
                 http://www.jstatsoft.org/v07/i05/BIPLOT_paper_6_6_02.pdf;
                 http://www.jstatsoft.org/v07/i05/BIPLOThelp.zip;
                 http://www.jstatsoft.org/v07/i05/updates",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Valero-Mora:2002:CVL,
  author =       "Pedro M. Valero-Mora and Forrest W. Young",
  title =        "Computing and Visualizing Log-linear analysis
                 interactively",
  journal =      j-J-STAT-SOFT,
  volume =       "7",
  number =       "6",
  pages =        "1--9",
  month =        "????",
  year =         "2002",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v007.i06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v07/i06;
                 http://www.jstatsoft.org/v07/i06/lglin.zip;
                 http://www.jstatsoft.org/v07/i06/updates;
                 http://www.jstatsoft.org/v07/i06/vislog6.pdf",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Ntzoufras:2002:GVS,
  author =       "Ioannis Ntzoufras",
  title =        "{Gibbs} Variable Selection Using {BUGS}",
  journal =      j-J-STAT-SOFT,
  volume =       "7",
  number =       "7",
  pages =        "1--19",
  month =        "????",
  year =         "2002",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v007.i07",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v07/i07;
                 http://www.jstatsoft.org/v07/i07/gvs-bugsfiles.zip;
                 http://www.jstatsoft.org/v07/i07/GVSusingBUGS.pdf;
                 http://www.jstatsoft.org/v07/i07/updates",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Lawal:2002:GFV,
  author =       "H. Bayo Lawal and Richard A. Sundheim",
  title =        "Generating Factor Variables for Asymmetry,
                 Non-independence and Skew-symmetry Models in Square
                 Contingency Tables using {SAS}",
  journal =      j-J-STAT-SOFT,
  volume =       "7",
  number =       "8",
  pages =        "1--23",
  month =        "????",
  year =         "2002",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v007.i08",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/sas.bib",
  URL =          "http://www.jstatsoft.org/v07/i08;
                 http://www.jstatsoft.org/v07/i08/generate.pdf;
                 http://www.jstatsoft.org/v07/i08/GENERATE.txt;
                 http://www.jstatsoft.org/v07/i08/updates",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Belaire-Franch:2002:RPN,
  author =       "Jorge Belaire-Franch and Dulce Contreras",
  title =        "Recurrence Plots in Nonlinear Time Series Analysis:
                 Free Software",
  journal =      j-J-STAT-SOFT,
  volume =       "7",
  number =       "9",
  pages =        "1--18",
  month =        "????",
  year =         "2002",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v007.i09",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v07/i09;
                 http://www.jstatsoft.org/v07/i09/JSS_055.pdf;
                 http://www.jstatsoft.org/v07/i09/updates",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Bonnet:2002:ZST,
  author =       "Eric Bonnet and Yves {Van de Peer}",
  title =        "\pkg{zt}: a Software Tool for Simple and Partial
                 {Mantel} Tests",
  journal =      j-J-STAT-SOFT,
  volume =       "7",
  number =       "10",
  pages =        "1--12",
  month =        "????",
  year =         "2002",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v007.i10",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Nov 17 22:35:43 2002",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v07/i10;
                 http://www.jstatsoft.org/v07/i10/updates;
                 http://www.jstatsoft.org/v07/i10/zt.pdf;
                 http://www.jstatsoft.org/v07/i10/zt_linux.tar.tgz;
                 http://www.jstatsoft.org/v07/i10/zt_solaris.tar.tgz",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Theus:2002:IDV,
  author =       "Martin Theus",
  title =        "Interactive Data Visualization using {Mondrian}",
  journal =      j-J-STAT-SOFT,
  volume =       "7",
  number =       "11",
  pages =        "1--9",
  month =        "????",
  year =         "2002",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v007.i11",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Tue Dec 16 17:06:19 2003",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v07/i11;
                 http://www.jstatsoft.org/v07/i11/MondrianJSSV2.pdf",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Al-Subaihi:2002:VSM,
  author =       "Ali A. Al-Subaihi",
  title =        "Variable Selection in Multivariable Regression Using
                 {SAS\slash IML}",
  journal =      j-J-STAT-SOFT,
  volume =       "7",
  number =       "12",
  pages =        "1--20",
  month =        "????",
  year =         "2002",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v007.i12",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Tue Dec 16 17:06:19 2003",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/sas.bib",
  URL =          "http://www.jstatsoft.org/v07/i12;
                 http://www.jstatsoft.org/v07/i12/mv.pdf",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Moon:2002:WBS,
  author =       "Hojin Moon and J. Jack Lee and Hongshik Ahn and
                 Rumiana G. Nikolova",
  title =        "A {Web}-based Simulator for Sample Size and Power
                 Estimation in Animal Carcinogenicity Studies",
  journal =      j-J-STAT-SOFT,
  volume =       "7",
  number =       "13",
  pages =        "1--36",
  month =        "????",
  year =         "2002",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v007.i13",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Tue Dec 16 17:06:19 2003",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v07/i13;
                 http://www.jstatsoft.org/v07/i13/ACSSreview.pdf",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Tomz:2003:PCS,
  author =       "Michael Tomz and Jason Wittenberg and Gary King",
  title =        "\pkg{Clarify}: Software for Interpreting and
                 Presenting Statistical Results",
  journal =      j-J-STAT-SOFT,
  volume =       "8",
  number =       "1",
  pages =        "1--30",
  month =        "????",
  year =         "2003",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v008.i01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Tue Dec 16 17:06:19 2003",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v08/i01/clarify.pdf;
                 http://www.jstatsoft.org/v08/i1",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  xxtitle =      "Clarify: Software for Interpreting and Presenting
                 Statistical Results",
}

@Article{King:2003:LRR,
  author =       "Gary King and Langche Zeng",
  title =        "Logistic Regression in Rare Events Data",
  journal =      j-J-STAT-SOFT,
  volume =       "8",
  number =       "2",
  pages =        "1--30",
  month =        "????",
  year =         "2003",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v008.i02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Tue Dec 16 17:06:19 2003",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v08/i02/0s.pdf;
                 http://www.jstatsoft.org/v08/i2",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  xxtitle =      "Logistic Regression in Rare Events Data",
}

@Article{Dupont:2003:DDS,
  author =       "William D. Dupont and W. Dale {Plummer, Jr.}",
  title =        "Density Distribution Sunflower Plots",
  journal =      j-J-STAT-SOFT,
  volume =       "8",
  number =       "3",
  pages =        "1--5",
  month =        "????",
  year =         "2003",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v008.i03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Tue Dec 16 17:06:19 2003",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v08/i03/SunflowerPlots.pdf;
                 http://www.jstatsoft.org/v08/i3",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  xxtitle =      "Density Distribution Sunflower Plots",
}

@Article{Contoni:2003:RNS,
  author =       "Eva Contoni",
  title =        "Resistant Nonparametric Smoothing with {S-PLUS}",
  journal =      j-J-STAT-SOFT,
  volume =       "8",
  number =       "3",
  pages =        "??--??",
  month =        "????",
  year =         "2003",
  CODEN =        "JSSOBK",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Tue Dec 16 17:06:19 2003",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v08/i03;
                 http://www.jstatsoft.org/v08/i03/;
                 http://www.jstatsoft.org/v08/i03/updates;
                 http://www.jstatsoft.org/v08/i03/v8.txt",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  xxnote =       "Check publication data: no longer at journal Web
                 site??",
}

@Article{PerezSainzdeRozas:2003:UMB,
  author =       "Gloria {Perez Sainz de Rozas}",
  title =        "Using {Mathematica} to Build Non-Parametric
                 Statistical Tables",
  journal =      j-J-STAT-SOFT,
  volume =       "8",
  number =       "4",
  pages =        "1--26",
  month =        "????",
  year =         "2003",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v008.i04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Tue Dec 16 17:06:19 2003",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/mathematica.bib",
  URL =          "http://www.jstatsoft.org/v08/i04/tablasjss2.pdf;
                 http://www.jstatsoft.org/v08/i4",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  xxtitle =      "Using Mathematica to Build Non-Parametric Statistical
                 Tables",
}

@Article{Trindade:2003:IMB,
  author =       "A. Alexandre Trindade",
  title =        "Implementing Modifed {Burg} Algorithms in Multivariate
                 Subset Autoregressive Modeling",
  journal =      j-J-STAT-SOFT,
  volume =       "8",
  number =       "5",
  pages =        "1--68",
  month =        "????",
  year =         "2003",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v008.i05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Tue Dec 16 17:06:19 2003",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v08/i05/pap1r2.pdf;
                 http://www.jstatsoft.org/v08/i5",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  xxtitle =      "Implementing Modifed Burg Algorithms in Multivariate
                 Subset Autoregressive Modeling",
}

@Article{Koenker:2003:SSM,
  author =       "Roger Koenker and Pin Ng",
  title =        "\pkg{SparseM}: a Sparse Matrix Package for {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "8",
  number =       "6",
  pages =        "1--9",
  month =        "????",
  year =         "2003",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v008.i06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Tue Dec 16 17:06:19 2003",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v08/i06/SparseM.pdf;
                 http://www.jstatsoft.org/v08/i6",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  xxtitle =      "{SparseM}: A Sparse Matrix Package for R",
}

@Article{Sanil:2003:NWW,
  author =       "Ashish Sanil and Shanti Gomatam and Alan F. Karr",
  title =        "{NISS WebSwap}: a {Web} Service for Data Swapping",
  journal =      j-J-STAT-SOFT,
  volume =       "8",
  number =       "7",
  pages =        "1--12",
  month =        "????",
  year =         "2003",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v008.i07",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Tue Dec 16 17:06:19 2003",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v08/i07/nisswebswap200206.pdf;
                 http://www.jstatsoft.org/v08/i7",
  abstract =     "Data swapping is a statistical disclosure limitation
                 practice that alters records in the data to be released
                 by switching values of attributes across pairs of
                 records in a fraction of the original data.\par

                 Web Services are an exciting new form of distributed
                 computing that allow users to invoke remote
                 applications nearly transparently. National Institute
                 of Statistical Sciences (NISS) has recently started
                 hosting NISS Web Services as a service and example to
                 the statistical sciences community. In this paper we
                 describe and provide usage information for NISS WebSwap
                 the initial NISS Web Service, which swaps one or more
                 attributes (fields) between user-specified records in a
                 microdata file, uploading the original data file from
                 the user's computer and downloading the file containing
                 the swapped records.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  xxtitle =      "{NISS} {WebSwap}: A Web Service for Data Swapping",
}

@Article{Chang:2003:MGP,
  author =       "Chwen-Ming Chang",
  title =        "{MinPROMEP}: Generation of Partially Replicated
                 Minimal Orthogonal Main-effect Plans Using a Novel
                 Algorithm",
  journal =      j-J-STAT-SOFT,
  volume =       "8",
  number =       "8",
  pages =        "1--15",
  month =        "????",
  year =         "2003",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v008.i08",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Tue Dec 16 17:06:19 2003",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v08/i08/paper.pdf;
                 http://www.jstatsoft.org/v08/i8",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  xxtitle =      "{MinPROMEP}: Generation of Partially Replicated
                 Minimal Orthogonal Main-Effect Plans Using a Novel
                 Algorithm",
}

@Article{Fotouhi:2003:CEP,
  author =       "Ali Reza Fotouhi",
  title =        "Comparisons of Estimation Procedures for Nonlinear
                 Multilevel Models",
  journal =      j-J-STAT-SOFT,
  volume =       "8",
  number =       "9",
  pages =        "1--39",
  month =        "????",
  year =         "2003",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v008.i09",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Tue Dec 16 17:06:19 2003",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v08/i09/Paper.pdf;
                 http://www.jstatsoft.org/v08/i9",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  xxtitle =      "Comparisons of Estimation Procedures for Nonlinear
                 Multilevel Models",
}

@Article{Firth:2003:CFP,
  author =       "David Firth",
  title =        "{CGIwithR}: Facilities for processing {Web} forms
                 using {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "8",
  number =       "10",
  pages =        "1--8",
  month =        "????",
  year =         "2003",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v008.i10",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Tue Dec 16 17:06:19 2003",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v08/i10;
                 http://www.jstatsoft.org/v08/i10/CGIwithR-overview.pdf",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Ligges:2003:SRP,
  author =       "Uwe Ligges and Martin M{\"a}chler",
  title =        "\pkg{Scatterplot3d} --- an {R} package for Visualizing
                 Multivariate Data",
  journal =      j-J-STAT-SOFT,
  volume =       "8",
  number =       "11",
  pages =        "1--20",
  month =        "????",
  year =         "2003",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v008.i11",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Tue Dec 16 17:06:19 2003",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v08/i11;
                 http://www.jstatsoft.org/v08/i11/JSSs3d.pdf",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Liu:2003:EAU,
  author =       "Honghu Liu and Tongtong Wu",
  title =        "Estimating the Area under a Receiver Operating
                 Characteristic Curve For Repeated Measures Design",
  journal =      j-J-STAT-SOFT,
  volume =       "8",
  number =       "12",
  pages =        "1--18",
  month =        "????",
  year =         "2003",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v008.i12",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Tue Dec 16 17:06:19 2003",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v08/i12;
                 http://www.jstatsoft.org/v08/i12/roc.pdf",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Kuonen:2003:NIP,
  author =       "Diego Kuonen",
  title =        "Numerical Integration in {S-PLUS} or {R}: a Survey",
  journal =      j-J-STAT-SOFT,
  volume =       "8",
  number =       "13",
  pages =        "1--14",
  month =        "????",
  year =         "2003",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v008.i13",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Tue Dec 16 17:06:19 2003",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v08/i13;
                 http://www.jstatsoft.org/v08/i13/article.pdf",
  abstract =     "This paper reviews current quadrature methods for
                 approximate calculation of integrals within S-Plus or
                 R. Starting with the general framework, Gaussian
                 quadrature will be discussed first, followed by
                 adaptive rules and Monte Carlo methods. Finally, a
                 comparison of the methods presented is given. The aim
                 of this survey paper is to help readers, not expert in
                 computing, to apply numerical integration methods and
                 to realize that numerical analysis is an art, not a
                 science.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  keywords =     "Adaptive method; Comparison; Gaussian quadrature;
                 Monte Carlo method; Quadrature",
}

@Article{Marsaglia:2003:XR,
  author =       "George Marsaglia",
  title =        "Xorshift {RNGs}",
  journal =      j-J-STAT-SOFT,
  volume =       "8",
  number =       "14",
  pages =        "1--6",
  year =         "2003",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v008.i14",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Tue Dec 16 17:06:19 2003",
  bibsource =    "http://www.math.utah.edu/pub/bibnet/authors/m/marsaglia-george.bib;
                 http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/mathcw.bib;
                 http://www.math.utah.edu/pub/tex/bib/prng.bib;
                 http://www.math.utah.edu/pub/tex/bib/tomacs.bib",
  note =         "See \cite{Brent:2004:NMX} for corrections and the
                 equivalence of xorshift generators and the
                 well-understood linear feedback shift register
                 generators. See also
                 \cite{Salmon:2011:PRN,Saito:2012:DCS,Steele:2014:FSP}
                 for the failure of Marsaglia's {\tt xorwow()} generator
                 from this paper. See
                 \cite{Panneton:2005:XRN,Vigna:2016:EEM} for detailed
                 analysis.",
  URL =          "http://www.jstatsoft.org/v08/i14;
                 http://www.jstatsoft.org/v08/i14/xorshift.pdf",
  abstract =     "Description of a class of simple, extremely fast
                 random number generators (RNGs) with periods $ 2^k - 1
                 $ for $ k = 32, 64, 96, 128, 160, 192 $. These RNGs
                 seem to pass tests of randomness very well.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Fox:2003:EDR,
  author =       "John Fox",
  title =        "Effect Displays in {R} for Generalised Linear Models",
  journal =      j-J-STAT-SOFT,
  volume =       "8",
  number =       "15",
  pages =        "1--27",
  month =        "????",
  year =         "2003",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v008.i15",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Tue Dec 16 17:06:19 2003",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v08/i15;
                 http://www.jstatsoft.org/v08/i15/effect-displays-revised.pdf",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Peng:2003:MDP,
  author =       "Roger D. Peng",
  title =        "Multi-dimensional Point Process Models in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "8",
  number =       "16",
  pages =        "1--27",
  month =        "????",
  year =         "2003",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v008.i16",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Tue Dec 16 17:06:19 2003",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v08/i16;
                 http://www.jstatsoft.org/v08/i16/ptprocR102.pdf",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Esty:2003:BPP,
  author =       "Warren W. Esty and Jeffrey D. Banfield",
  title =        "The Box-Percentile Plot",
  journal =      j-J-STAT-SOFT,
  volume =       "8",
  number =       "17",
  pages =        "1--14",
  month =        "????",
  year =         "2003",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v008.i17",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Tue Dec 16 17:06:19 2003",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v08/i17;
                 http://www.jstatsoft.org/v08/i17/BoxPercentilePlot.pdf",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Marsaglia:2003:EKD,
  author =       "George Marsaglia and Wai Wan Tsang and Jingbo Wang",
  title =        "Evaluating {Kolmogorov}'s Distribution",
  journal =      j-J-STAT-SOFT,
  volume =       "8",
  number =       "18",
  pages =        "1--4",
  month =        "????",
  year =         "2003",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v008.i18",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Tue Dec 16 17:06:19 2003",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v08/i18;
                 http://www.jstatsoft.org/v08/i18/k.pdf",
  abstract =     "Kolmogorov's goodness-of-fit measure, $ D_n $, for a
                 sample CDF has consistently been set aside for methods
                 such as the $ D_n^+ $ or $ D_n^- $; of Smirnov,
                 primarily, it seems, because of the difficulty of
                 computing the distribution of $ D_n $. As far as we
                 know, no easy way to compute that distribution has ever
                 been provided in the 70+ years since Kolmogorov's
                 fundamental paper. We provide one here, a C procedure
                 that provides $ \mbox {Pr}(D_n < d) $ with 13--15 digit
                 accuracy for $n$ ranging from $2$ to at least $ 16000$.
                 We assess the (rather slow) approach to limiting form,
                 and because computing time can become excessive for
                 probabilities $ > 0.999$ with $n$'s of several
                 thousand, we provide a quick approximation that gives
                 accuracy to the 7th digit for such cases.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
}

@Article{Murdoch:2003:POR,
  author =       "Duncan Murdoch",
  title =        "\pkg{Orientlib}: An {R} Package for Orientation Data",
  journal =      j-J-STAT-SOFT,
  volume =       "8",
  number =       "19",
  pages =        "1--11",
  month =        "????",
  year =         "2003",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v008.i19",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Tue Dec 16 17:06:19 2003",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v08/i19;
                 http://www.jstatsoft.org/v08/i19/orientlib_paper.pdf",
  abstract =     "\pkg{Orientlib} is an R package to facilitate working
                 with orientation data, i.e. elements of SO(3). It
                 provides automatic translation between different
                 representations of orientations, including rotation
                 matrices, quaternions, Euler angles and skew-symmetric
                 matrices; it also has functions for fitting regression
                 models and displaying orientations. This paper reviews
                 simple properties of orientation data and describes
                 \pkg{Orientlib}.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  keywords =     "Euler angles; orientation data; quaternions; rotation
                 matrices; SO(3)",
}

@Article{Botcher:2003:PDP,
  author =       "Susanne G. B{\o}tcher and Claus Dethlefsen",
  title =        "\pkg{deal}: a Package for Learning {Bayesian}
                 Networks",
  journal =      j-J-STAT-SOFT,
  volume =       "8",
  number =       "20",
  pages =        "1--40",
  day =          "28",
  month =        dec,
  year =         "2003",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v008.i20",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Feb 25 11:20:56 2004",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v08/i20/deal.pdf;
                 http://www.jstatsoft.org/v08/i20/deal_1.2-4.tar.gz;
                 http://www.jstatsoft.org/v08/i20/jcgs.tex",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  xxtitle =      "deal: A Package for Learning Bayesian Networks",
}

@Article{Khan:2003:VBS,
  author =       "Haseeb Ahmad Khan",
  title =        "A {Visual Basic} Software for Computing {Fisher}'s
                 Exact Probability",
  journal =      j-J-STAT-SOFT,
  volume =       "8",
  number =       "21",
  pages =        "1--7",
  day =          "28",
  month =        dec,
  year =         "2003",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v008.i21",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Feb 25 11:20:56 2004",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v08/i21/Article-JSS.PDF",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  xxtitle =      "A Visual Basic Software for Computing Fisher's Exact
                 Probability",
}

@Article{Ngo:2004:SMM,
  author =       "Long Ngo and Matthew P. Wand",
  title =        "Smoothing with Mixed Model Software",
  journal =      j-J-STAT-SOFT,
  volume =       "9",
  number =       "1",
  pages =        "1--54",
  day =          "1",
  month =        jan,
  year =         "2004",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v009.i01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Feb 25 11:20:56 2004",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v09/i01/Abstract%20for%20JCGS.txt;
                 http://www.jstatsoft.org/v09/i01/code.zip;
                 http://www.jstatsoft.org/v09/i01/softpaper_010804.pdf",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  xxtitle =      "Smoothing with Mixed Model Software",
}

@Article{Marsaglia:2004:EAD,
  author =       "George Marsaglia and John Marsaglia",
  title =        "Evaluating the {Anderson--Darling} Distribution",
  journal =      j-J-STAT-SOFT,
  volume =       "9",
  number =       "2",
  pages =        "1--5",
  day =          "25",
  month =        feb,
  year =         "2004",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v009.i02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Feb 25 11:20:56 2004",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v09/i02/ad.pdf;
                 http://www.jstatsoft.org/v09/i02/ADinf.c;
                 http://www.jstatsoft.org/v09/i02/AnDarl.c",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  xxtitle =      "Evaluating the Anderson-Darling Distribution",
}

@Article{Miller:2004:CMS,
  author =       "Alan J. Miller",
  title =        "A Collection of Mathematical and Statistical Routines
                 in {FORTRAN 90}",
  journal =      j-J-STAT-SOFT,
  volume =       "9",
  number =       "3",
  pages =        "1--3",
  day =          "25",
  month =        feb,
  year =         "2004",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v009.i03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Feb 25 11:20:56 2004",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v09/i03/F90lib.pdf",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  xxtitle =      "A Collection of Mathematical and Statistical Routines
                 in Fortran 90",
}

@Article{Al-Subaihi:2004:SCM,
  author =       "Ali A. Al-Subaihi",
  title =        "Simulating Correlated Multivariate Pseudorandom
                 Numbers",
  journal =      j-J-STAT-SOFT,
  volume =       "9",
  number =       "4",
  pages =        "1--20",
  month =        "????",
  year =         "2004",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v009.i04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sat Dec 04 09:18:40 2004",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=85&url=v09/i04/paper.pdf&ct=1",
  accepted =     "2004-02-29",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  submitted =    "2003-01-04",
  xxtitle =      "Simulating Correlated Multivariate Pseudorandom
                 Numbers",
}

@Article{West:2004:IS,
  author =       "R. Webster West and Yuping Wu and Duane Heydt",
  title =        "An Introduction to {StatCrunch 3.0}",
  journal =      j-J-STAT-SOFT,
  volume =       "9",
  number =       "5",
  pages =        "??--??",
  month =        "????",
  year =         "2004",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v009.i05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sat Dec 04 09:18:40 2004",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=86&url=v09/i05/scjss/&ct=1",
  accepted =     "2004-03-05",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  submitted =    "2003-10-10",
  xxtitle =      "An Introduction to {StatCrunch} 3.0",
}

@Article{Strand:2004:SNT,
  author =       "Matthew Strand and Shalender Bhasin and Hsiao-Pin
                 Liu",
  title =        "A Set of Nonparametric Tests for Experiments with
                 Lattice-Ordered Means: Theory, Programs, and
                 Applications",
  journal =      j-J-STAT-SOFT,
  volume =       "9",
  number =       "6",
  pages =        "1--16",
  month =        "????",
  year =         "2004",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v009.i06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sat Dec 04 09:18:40 2004",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=87&url=v09/i06/paper.pdf&ct=1",
  accepted =     "2004-03-20",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  submitted =    "2003-07-09",
  xxtitle =      "A Set of Nonparametric Tests for Experiments with
                 Lattice-Ordered Means: Theory, Programs, and
                 Applications",
}

@Article{Elam:2004:SSS,
  author =       "Matthew E. Elam and Kenneth E. Case and Jong-Min Kim",
  title =        "Second Stage Short Run {$ (\bar X, v_c) $} and {$
                 (\bar X, s_c) $} Control Charts",
  journal =      j-J-STAT-SOFT,
  volume =       "9",
  number =       "7",
  pages =        "1--31",
  month =        "????",
  year =         "2004",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v009.i07",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sat Dec 04 09:18:40 2004",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=88&url=v09/i07/paper.pdf&ct=1",
  accepted =     "2004-03-23",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  submitted =    "2003-08-29",
  xxtitle =      "Second Stage Short Run (X, vc) and (X, sc) Control
                 Charts",
}

@Article{Lumley:2004:ACS,
  author =       "Thomas Lumley",
  title =        "Analysis of Complex Survey Samples",
  journal =      j-J-STAT-SOFT,
  volume =       "9",
  number =       "8",
  pages =        "1--19",
  month =        "????",
  year =         "2004",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v009.i08",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sat Dec 04 09:18:40 2004",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=89&url=v09/i08/paper.pdf&ct=1",
  accepted =     "2004-04-15",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  submitted =    "2003-08-21",
  xxtitle =      "Analysis of Complex Survey Samples",
}

@Article{Wiens:2004:MSP,
  author =       "Douglas P. Wiens",
  title =        "{MATCH} --- a Software Package for Robust Profile
                 Matching Using {S-Plus}",
  journal =      j-J-STAT-SOFT,
  volume =       "10",
  number =       "1",
  pages =        "1--35",
  month =        "????",
  year =         "2004",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v010.i01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sat Dec 04 09:18:40 2004",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=91&url=v10/i01/manual2.pdf&ct=1",
  accepted =     "2004-04-26",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  submitted =    "2002-10-06",
  xxtitle =      "{MATCH} - A Software Package for Robust Profile
                 Matching Using S-{PLUS}",
}

@Article{Cantoni:2004:RNS,
  author =       "Eva Cantoni",
  title =        "Resistant Nonparametric Smoothing with {S-PLUS}",
  journal =      j-J-STAT-SOFT,
  volume =       "10",
  number =       "2",
  pages =        "1--6",
  month =        "????",
  year =         "2004",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v010.i02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sat Dec 04 09:18:40 2004",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=93&url=v10/i02/Mspline4.pdf&ct=1",
  accepted =     "2004-04-26",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  submitted =    "2002-07-17",
  xxtitle =      "Resistant Nonparametric Smoothing with S-{PLUS}",
}

@Article{Edlund:2004:CMS,
  author =       "Ove Edlund",
  title =        "{CMregr} --- a {Matlab} software package for finding
                 {CM}-Estimates for Regression",
  journal =      j-J-STAT-SOFT,
  volume =       "10",
  number =       "3",
  pages =        "1--11",
  month =        "????",
  year =         "2004",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v010.i03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sat Dec 04 09:18:40 2004",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=92&url=v10/i03/CMregr_rev2.pdf&ct=1",
  accepted =     "2004-04-26",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  submitted =    "2002-08-20",
  xxtitle =      "{CMregr} - A Matlab Software Package for Finding
                 {CM}-Estimates for Regression",
}

@Article{Cantoni:2004:ARQ,
  author =       "Eva Cantoni",
  title =        "Analysis of Robust Quasi-deviances for Generalized
                 Linear Models",
  journal =      j-J-STAT-SOFT,
  volume =       "10",
  number =       "4",
  pages =        "1--9",
  month =        "????",
  year =         "2004",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v010.i04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sat Dec 04 09:18:40 2004",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=94&url=v10/i04/robGLMquasidev1.pdf&ct=1",
  accepted =     "2004-04-26",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  submitted =    "2002-11-07",
  xxtitle =      "Analysis of Robust Quasi-Deviances for Generalized
                 Linear Models",
}

@Article{Stromberg:2004:WWS,
  author =       "Arnold J. Stromberg",
  title =        "Why Write Statistical Software? The Case of Robust
                 Statistical Methods",
  journal =      j-J-STAT-SOFT,
  volume =       "10",
  number =       "5",
  pages =        "1--8",
  month =        "????",
  year =         "2004",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v010.i05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sat Dec 04 09:18:40 2004",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=90&url=v10/i05/finalintro.pdf&ct=1",
  accepted =     "2004-04-26",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  submitted =    "2004-01-26",
  xxtitle =      "Why Write Statistical Software? The Case of Robust
                 Statistical Methods",
}

@Article{Baiocchi:2004:UPS,
  author =       "Giovanni Baiocchi",
  title =        "Using {Perl} for Statistics: Data Processing and
                 Statistical Computing",
  journal =      j-J-STAT-SOFT,
  volume =       "11",
  number =       "1",
  pages =        "1--81",
  month =        "????",
  year =         "2004",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v011.i01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sat Dec 04 09:18:40 2004",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=95&url=v11/i01/paper.pdf&ct=1",
  accepted =     "2004-05-16",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  submitted =    "2003-02-21",
  xxtitle =      "Using Perl for Statistics: Data Processing and
                 Statistical Computing",
}

@Article{Mathias:2004:ASA,
  author =       "Adolf Mathias and Florian Grond and Ramon Guardans and
                 Detlef Seese and Miguel Canela and Hans H. Diebner",
  title =        "Algorithms for Spectral Analysis of Irregularly
                 Sampled Time Series",
  journal =      j-J-STAT-SOFT,
  volume =       "11",
  number =       "2",
  pages =        "1--30",
  month =        "????",
  year =         "2004",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v011.i02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sat Dec 04 09:18:40 2004",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=96&url=v11/i02/paper.pdf&ct=1",
  accepted =     "2004-05-19",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  submitted =    "2003-07-22",
  xxtitle =      "Algorithms for Spectral Analysis of Irregularly
                 Sampled Time Series",
}

@Article{Marsaglia:2004:FGD,
  author =       "George Marsaglia and Wai Wan Tsang and Jingbo Wang",
  title =        "Fast Generation of Discrete Random Variables",
  journal =      j-J-STAT-SOFT,
  volume =       "11",
  number =       "3",
  pages =        "1--8",
  month =        "????",
  year =         "2004",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v011.i03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sat Dec 04 09:18:40 2004",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=99&url=v11/i03/discrete.pdf&ct=1",
  accepted =     "2004-07-12",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  submitted =    "2004-06-05",
  xxtitle =      "Fast Generation of Discrete Random Variables",
}

@Article{Marsaglia:2004:END,
  author =       "George Marsaglia",
  title =        "Evaluating the Normal Distribution",
  journal =      j-J-STAT-SOFT,
  volume =       "11",
  number =       "4",
  pages =        "1--7",
  month =        "????",
  year =         "2004",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v011.i04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sat Dec 04 09:18:40 2004",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=100&url=v11/i04/cphi.pdf&ct=1",
  accepted =     "2004-07-18",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  remark =       "This article exhibits accurate, compact, and fast
                 algorithms for computation of the normal distribution
                 function and the complementary normal distribution,
                 which have a simple relation to the error function and
                 the complementary error function. They appear to be
                 improvements on almost all previously-published
                 algorithms for these functions. However, closer study
                 shows that the complementary normal distribution
                 function has an unchecked out-of-bounds array access
                 for $ |x| >= 17 $, and its Taylor series sum has poor
                 convergence because the tabulated intervals are twice
                 too wide. The Taylor series sum for the normal
                 distribution function is expanded around $ x = 0 $, and
                 thus has poor convergence for large $ |x| $. Neither
                 function takes into account the accuracy loss when the
                 computed result is the larger of the two (their sum is
                 one, and their range is $ [ - \infty, + \infty]$),
                 although the text discusses the problem. The article
                 also discusses the historical origin of the term
                 ``error function'', tracing it to J. W. Glaisher in
                 1871.",
  submitted =    "2004-06-05",
  xxtitle =      "Evaluating the Normal Distribution",
}

@Article{Brent:2004:NMX,
  author =       "Richard P. Brent",
  title =        "Note on {Marsaglia}'s Xorshift Random Number
                 Generators",
  journal =      j-J-STAT-SOFT,
  volume =       "11",
  number =       "5",
  pages =        "1--5",
  year =         "2004",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v011.i05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sat Dec 04 09:18:40 2004",
  bibsource =    "http://www.math.utah.edu/pub/bibnet/authors/m/marsaglia-george.bib;
                 http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/mathcw.bib;
                 http://www.math.utah.edu/pub/tex/bib/prng.bib;
                 http://www.math.utah.edu/pub/tex/bib/tomacs.bib",
  note =         "See
                 \cite{Marsaglia:2003:XR,Panneton:2005:XRN,Vigna:2016:EEM}.
                 This article shows the equivalence of xorshift
                 generators and the well-understood linear feedback
                 shift register generators.",
  URL =          "http://www.jstatsoft.org/counter.php?id=101&url=v11/i05/v11i05.pdf&ct=1",
  accepted =     "2004-08-25",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  submitted =    "2004-07-07",
}

@Article{Hojsgaard:2004:PMP,
  author =       "S{\o}ren H{\o}jsgaard",
  title =        "The \pkg{mimR} Package for Graphical Modelling in
                 {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "11",
  number =       "6",
  pages =        "1--13",
  month =        "????",
  year =         "2004",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v011.i06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sat Dec 04 09:18:40 2004",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=102&url=v11/i06/v11i06.pdf&ct=1",
  accepted =     "2004-10-02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  submitted =    "2004-07-06",
  xxtitle =      "The {mimR} Package for Graphical Modelling in R",
}

@Article{King:2004:TPE,
  author =       "Gary King",
  title =        "{{\textfrak{E}I}}: a Program for Ecological
                 Inference",
  journal =      j-J-STAT-SOFT,
  volume =       "11",
  number =       "7",
  pages =        "1--41",
  month =        "????",
  year =         "2004",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v011.i07",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sat Dec 04 09:18:40 2004",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=103&url=v11/i07/v11i07.pdf&ct=1",
  accepted =     "2004-09-28",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  submitted =    "2003-09-29",
  xxtitle =      "{EI}: A Program for Ecological Inference",
}

@Article{Leisch:2004:FGF,
  author =       "Friedrich Leisch",
  title =        "{FlexMix}: a General Framework for Finite Mixture
                 Models and Latent Class Regression in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "11",
  number =       "8",
  pages =        "1--18",
  month =        "????",
  year =         "2004",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v011.i08",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sat Dec 04 09:18:40 2004",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=104&url=v11/i08/v11i08.pdf&ct=1",
  accepted =     "2004-10-18",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  submitted =    "2004-04-19",
  xxtitle =      "{FlexMix}: A General Framework for Finite Mixture
                 Models and Latent Class Regression in R",
}

@Article{Karatzoglou:2004:PKS,
  author =       "Alexandros Karatzoglou and Alex Smola and Kurt Hornik
                 and Achim Zeileis",
  title =        "\pkg{kernlab} --- An {S4} Package for Kernel Methods
                 in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "11",
  number =       "9",
  pages =        "1--20",
  month =        "????",
  year =         "2004",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v011.i09",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sat Dec 04 09:18:40 2004",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=105&url=v11/i09/v11i09.pdf&ct=1",
  accepted =     "2004-11-02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  submitted =    "2004-08-15",
  xxtitle =      "kernlab - An S4 Package for Kernel Methods in R",
}

@Article{Zeileis:2004:ECH,
  author =       "Achim Zeileis",
  title =        "Econometric Computing with {HC} and {HAC} Covariance
                 Matrix Estimators",
  journal =      j-J-STAT-SOFT,
  volume =       "11",
  number =       "10",
  pages =        "1--17",
  month =        "????",
  year =         "2004",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v011.i10",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sat Dec 04 09:18:40 2004",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=106&url=v11/i10/v11i10.pdf&ct=1",
  accepted =     "2004-11-29",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  submitted =    "2004-11-09",
  xxtitle =      "Econometric Computing with {HC} and {HAC} Covariance
                 Matrix Estimators",
}

@Article{Firth:2005:BTM,
  author =       "David Firth",
  title =        "{Bradley--Terry} Models in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "12",
  number =       "1",
  pages =        "1--12",
  month =        "????",
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v012.i01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed May 18 11:18:51 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=107&url=v12/i01&ct=2;
                 http://www.jstatsoft.org/counter.php?id=107&url=v12/i01/v12i01.pdf&ct=1",
  accepted =     "2005-01-07",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  submitted =    "2005-01-07",
  xxtitle =      "Bradley-Terry Models in R",
}

@Article{Jamshidian:2005:SSI,
  author =       "Mortaza Jamshidian and Wei Liu and Ying Zhang and
                 Farid Jamshidian",
  title =        "{Simreg}: a Software Including Some New Developments
                 in Multiple Comparison and Simultaneous Confidence
                 Bands for Linear Regression Models",
  journal =      j-J-STAT-SOFT,
  volume =       "12",
  number =       "2",
  pages =        "1--22",
  month =        "????",
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v012.i02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed May 18 11:18:51 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=109&url=v12/i02&ct=2;
                 http://www.jstatsoft.org/counter.php?id=109&url=v12/i02/v12i02.pdf&ct=1",
  accepted =     "2005-01-07",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  submitted =    "2005-01-07",
}

@Article{Panneton:2005:XRN,
  author =       "Fran{\c{c}}ois Panneton and Pierre L'Ecuyer",
  title =        "On the xorshift random number generators",
  journal =      j-TOMACS,
  volume =       "15",
  number =       "4",
  pages =        "346--361",
  month =        oct,
  year =         "2005",
  CODEN =        "ATMCEZ",
  DOI =          "https://doi.org/10.1145/1113316.1113319",
  ISSN =         "1049-3301 (print), 1558-1195 (electronic)",
  ISSN-L =       "1049-3301",
  bibdate =      "Thu Feb 16 10:42:56 MST 2006",
  bibsource =    "http://www.acm.org/pubs/contents/journals/tomacs/;
                 http://www.math.utah.edu/pub/bibnet/authors/m/marsaglia-george.bib;
                 http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/mathcw.bib;
                 http://www.math.utah.edu/pub/tex/bib/prng.bib;
                 http://www.math.utah.edu/pub/tex/bib/tomacs.bib",
  note =         "See
                 \cite{Marsaglia:2003:XR,Brent:2004:NMX,Vigna:2016:EEM}.",
  abstract =     "G. Marsaglia recently introduced a class of very fast
                 xorshift random number generators, whose implementation
                 uses three ``xorshift'' operations. They belong to a
                 large family of generators based on linear recurrences
                 modulo 2, which also includes shift-register
                 generators, the Mersenne twister, and several others.
                 In this article, we analyze the theoretical properties
                 of xorshift generators, search for the best ones with
                 respect to the equidistribution criterion, and test
                 them empirically. We find that the vast majority of
                 xorshift generators with only three xorshift
                 operations, including those having good
                 equidistribution, fail several simple statistical
                 tests. We also discuss generators with more than three
                 xorshifts.",
  acknowledgement = ack-nhfb,
  fjournal =     "ACM Transactions on Modeling and Computer Simulation",
  journal-URL =  "http://portal.acm.org/browse_dl.cfm?&idx=J781",
}

@Article{Sturtz:2005:PRP,
  author =       "Sibylle Sturtz and Uwe Ligges and Andrew Gelman",
  title =        "\pkg{R2WinBUGS}: a Package for Running {WinBUGS} from
                 {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "12",
  number =       "3",
  pages =        "1--16",
  month =        "????",
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v012.i03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed May 18 11:18:51 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=110&url=v12/i03&ct=2;
                 http://www.jstatsoft.org/counter.php?id=110&url=v12/i03/v12i03.pdf&ct=1",
  accepted =     "2005-01-07",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  submitted =    "2005-01-07",
  xxtitle =      "R2WinBUGS: A Package for Running {WinBUGS} from R",
}

@Article{Mineo:2005:STE,
  author =       "Angelo M. Mineo and Mariantonietta Ruggieri",
  title =        "A Software Tool for the Exponential Power
                 Distribution: The \pkg{normalp} Package",
  journal =      j-J-STAT-SOFT,
  volume =       "12",
  number =       "4",
  pages =        "1--24",
  month =        "????",
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v012.i04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed May 18 11:18:51 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=111&url=v12/i04&ct=2;
                 http://www.jstatsoft.org/counter.php?id=111&url=v12/i04/v12i04.pdf&ct=1",
  accepted =     "2005-01-12",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  submitted =    "2005-01-12",
  xxtitle =      "A Software Tool for the Exponential Power
                 Distribution: The normalp package",
}

@Article{Ritz:2005:BAU,
  author =       "Christian Ritz and Jens C. Streibig",
  title =        "Bioassay Analysis Using {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "12",
  number =       "5",
  pages =        "1--22",
  month =        "????",
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v012.i05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed May 18 11:18:51 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=112&url=v12/i05&ct=2;
                 http://www.jstatsoft.org/counter.php?id=112&url=v12/i05/v12i05.pdf&ct=1",
  accepted =     "2005-01-19",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  submitted =    "2005-01-19",
  xxtitle =      "Bioassay Analysis using R",
}

@Article{Baddeley:2005:PSR,
  author =       "Adrian Baddeley and Rolf Turner",
  title =        "\pkg{spatstat}: An {R} Package for Analyzing Spatial
                 Point Patterns",
  journal =      j-J-STAT-SOFT,
  volume =       "12",
  number =       "6",
  pages =        "1--42",
  month =        "????",
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v012.i06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed May 18 11:18:51 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=113&url=v12/i06&ct=2;
                 http://www.jstatsoft.org/counter.php?id=113&url=v12/i06/v12i06.pdf&ct=1",
  accepted =     "2005-01-26",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  submitted =    "2005-01-26",
  xxtitle =      "spatstat: An R Package for Analyzing Spatial Point
                 Patterns",
}

@Article{Leong:2005:CIZ,
  author =       "Philip Leong and Guanglie Zhang and Dong-U Lee and
                 Wayne Luk and John Villasenor",
  title =        "A Comment on the Implementation of the Ziggurat
                 Method",
  journal =      j-J-STAT-SOFT,
  volume =       "12",
  number =       "7",
  pages =        "1--44",
  month =        "????",
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v012.i07",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed May 18 11:18:51 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  note =         "See \cite{Marsaglia:2000:ZMG}.",
  URL =          "http://www.jstatsoft.org/counter.php?id=114&url=v12/i07&ct=2;
                 http://www.jstatsoft.org/counter.php?id=114&url=v12/i07/v12i07.pdf&ct=1",
  abstract =     "We show that the short period of the uniform random
                 number generator in the published implementation of
                 Marsaglia and Tsang's Ziggurat method for generating
                 random deviates can lead to poor distributions.
                 Changing the uniform random number generator used in
                 its implementation fixes this issue.",
  accepted =     "2005-02-08",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  submitted =    "2005-02-08",
  xxtitle =      "A Comment on the Implementation of the Ziggurat
                 Method",
}

@Article{Johnstone:2005:ERP,
  author =       "Iain M. Johnstone and Bernard W. Silverman",
  title =        "{EbayesThresh}: {R} Programs for Empirical {Bayes}
                 Thresholding",
  journal =      j-J-STAT-SOFT,
  volume =       "12",
  number =       "8",
  pages =        "1--38",
  month =        "????",
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v012.i08",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed May 18 11:18:51 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=125&url=v12/i08&ct=2;
                 http://www.jstatsoft.org/counter.php?id=125&url=v12/i08/v12i08.pdf&ct=1",
  accepted =     "2005-04-06",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  submitted =    "2005-04-06",
  xxtitle =      "{EbayesThresh}: R Programs for Empirical Bayes
                 Thresholding",
}

@Article{Weisberg:2005:LOW,
  author =       "Sanford Weisberg",
  title =        "Lost Opportunities: Why We Need a Variety of
                 Statistical Languages",
  journal =      j-J-STAT-SOFT,
  volume =       "13",
  number =       "1",
  pages =        "1--12",
  month =        "????",
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v013.i01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed May 18 11:18:51 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=115&url=v13/i01&ct=2;
                 http://www.jstatsoft.org/counter.php?id=115&url=v13/i01/v13i01.pdf&ct=1",
  accepted =     "2004-12-20",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  remark =       "Special Volume: Lisp--Stat, Past, Present and Future.
                 Pedro Valero-Mora and Frederic Udina, Guest Editors.",
  submitted =    "2004-12-20",
  xxtitle =      "Lost Opportunities: Why We Need a Variety of
                 Statistical Languages",
}

@Article{Medrano-Soto:2005:BBA,
  author =       "Arturo Medrano-Soto and J. Andr{\'e}s Christen and
                 Julio Collado-Vides",
  title =        "{BClass}: a {Bayesian} Approach Based on Mixture
                 Models for Clustering and Classification of
                 Heterogeneous Biological Data",
  journal =      j-J-STAT-SOFT,
  volume =       "13",
  number =       "2",
  pages =        "1--18",
  month =        "????",
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v013.i02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed May 18 11:18:51 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=116&url=v13/i02&ct=2;
                 http://www.jstatsoft.org/counter.php?id=116&url=v13/i02/v13i02.pdf&ct=1",
  accepted =     "2004-12-20",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  remark =       "Special Volume: Lisp--Stat, Past, Present and Future.
                 Pedro Valero-Mora and Frederic Udina, Guest Editors.",
  submitted =    "2004-12-20",
  xxtitle =      "{BClass}: A Bayesian Approach Based on Mixture Models
                 for Clustering and Classification of Heterogeneous
                 Biological Data",
}

@Article{Iversen:2005:VED,
  author =       "Philip W. Iversen and Mervyn G. Marasinghe",
  title =        "Visualizing Experimental Designs for Balanced {ANOVA}
                 Models",
  journal =      j-J-STAT-SOFT,
  volume =       "13",
  number =       "3",
  pages =        "1--18",
  month =        "????",
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v013.i03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed May 18 11:18:51 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=117&url=v13/i03&ct=2;
                 http://www.jstatsoft.org/counter.php?id=117&url=v13/i03/v13i03.pdf&ct=1",
  accepted =     "0000-00-00",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  remark =       "Special Volume: Lisp--Stat, Past, Present and Future.
                 Pedro Valero-Mora and Frederic Udina, Guest Editors.",
  submitted =    "0000-00-00",
  xxtitle =      "Visualizing Experimental Designs for Balanced {ANOVA}
                 Models using Lisp-Stat",
}

@Article{Narasimhan:2005:LSJ,
  author =       "Balasubramanian Narasimhan",
  title =        "{Lisp--Stat} to {Java} to {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "13",
  number =       "4",
  pages =        "1--10",
  month =        "????",
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v013.i04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed May 18 11:18:51 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=118&url=v13/i04&ct=2;
                 http://www.jstatsoft.org/counter.php?id=118&url=v13/i04/v13i04.pdf&ct=1",
  accepted =     "0000-00-00",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  remark =       "Special Volume: Lisp--Stat, Past, Present and Future.
                 Pedro Valero-Mora and Frederic Udina, Guest Editors.",
  submitted =    "0000-00-00",
  xxtitle =      "Lisp-Stat to Java to R",
}

@Article{Udina:2005:IBC,
  author =       "Frederic Udina",
  title =        "Interactive Biplot Construction",
  journal =      j-J-STAT-SOFT,
  volume =       "13",
  number =       "5",
  pages =        "1--16",
  month =        "????",
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v013.i05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed May 18 11:18:51 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=119&url=v13/i05&ct=2;
                 http://www.jstatsoft.org/counter.php?id=119&url=v13/i05/v13i05.pdf&ct=1",
  accepted =     "0000-00-00",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  remark =       "Special Volume: Lisp--Stat, Past, Present and Future.
                 Pedro Valero-Mora and Frederic Udina, Guest Editors.",
  submitted =    "0000-00-00",
  xxtitle =      "Interactive Biplot Construction",
}

@Article{Josselin:2005:IGI,
  author =       "Didier Josselin",
  title =        "Interactive Geographical Information System using
                 {Lisp--Stat}: Prototypes and Applications",
  journal =      j-J-STAT-SOFT,
  volume =       "13",
  number =       "6",
  pages =        "1--34",
  month =        "????",
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v013.i06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed May 18 11:18:51 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=122&url=v13/i06&ct=2;
                 http://www.jstatsoft.org/counter.php?id=122&url=v13/i06/v13i06.pdf&ct=1",
  accepted =     "0000-00-00",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  remark =       "Special Volume: Lisp--Stat, Past, Present and Future.
                 Pedro Valero-Mora and Frederic Udina, Guest Editors.",
  submitted =    "0000-00-00",
  xxtitle =      "Interactive Geographical Information System using
                 Lisp-Stat: Prototypes and Applications",
}

@Article{deLeeuw:2005:AXS,
  author =       "Jan de Leeuw",
  title =        "On Abandoning {XLISP--STAT}",
  journal =      j-J-STAT-SOFT,
  volume =       "13",
  number =       "7",
  pages =        "1--5",
  month =        "????",
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v013.i07",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed May 18 11:18:51 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=121&url=v13/i07&ct=2;
                 http://www.jstatsoft.org/counter.php?id=121&url=v13/i07/v13i07.pdf&ct=1",
  accepted =     "0000-00-00",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  remark =       "Special Volume: Lisp--Stat, Past, Present and Future.
                 Pedro Valero-Mora and Frederic Udina, Guest Editors.",
  submitted =    "0000-00-00",
  xxtitle =      "On Abandoning {XLISP}-{STAT}",
}

@Article{Molina:2005:VTT,
  author =       "J. Gabriel Molina and Rub{\'e}n Ledesma and Pedro M.
                 Valero-Mora and Forrest W. Young",
  title =        "A Video Tour through {ViSta 6.4}",
  journal =      j-J-STAT-SOFT,
  volume =       "13",
  number =       "8",
  pages =        "1--13",
  month =        "????",
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v013.i08",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed May 18 11:18:51 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=122&url=v13/i08&ct=2;
                 http://www.jstatsoft.org/counter.php?id=122&url=v13/i08/v13i08.pdf&ct=1",
  accepted =     "0000-00-00",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  remark =       "Special Volume: Lisp--Stat, Past, Present and Future.
                 Pedro Valero-Mora and Frederic Udina, Guest Editors.",
  submitted =    "0000-00-00",
  xxtitle =      "A Video Tour through {ViSta} 6.4, a Visual Statistical
                 System based on Lisp-Stat",
}

@Article{Tierney:2005:SNP,
  author =       "Luke Tierney",
  title =        "Some Notes on the Past and Future of {Lisp--Stat}",
  journal =      j-J-STAT-SOFT,
  volume =       "13",
  number =       "9",
  pages =        "1--15",
  month =        "????",
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v013.i09",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed May 18 11:18:51 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=123&url=v13/i09&ct=2;
                 http://www.jstatsoft.org/counter.php?id=123&url=v13/i09/v13i09.pdf&ct=1",
  accepted =     "0000-00-00",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  remark =       "Special Volume: Lisp--Stat, Past, Present and Future.
                 Pedro Valero-Mora and Frederic Udina, Guest Editors.",
  submitted =    "0000-00-00",
  xxtitle =      "Some Notes on the Past and Future of Lisp-Stat",
}

@Article{Valero-Mora:2005:HLS,
  author =       "Pedro Valero-Mora and Frederic Udina",
  title =        "The Health of {Lisp--Stat}",
  journal =      j-J-STAT-SOFT,
  volume =       "13",
  number =       "10",
  pages =        "1--5",
  month =        "????",
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v013.i10",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed May 18 11:18:51 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=124&url=v13/i10&ct=2;
                 http://www.jstatsoft.org/counter.php?id=124&url=v13/i10/v13i10.pdf&ct=1",
  accepted =     "0000-00-00",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  remark =       "Special Volume: Lisp--Stat, Past, Present and Future.
                 Pedro Valero-Mora and Frederic Udina, Guest Editors.",
  submitted =    "0000-00-00",
  xxtitle =      "The Health of Lisp-Stat",
}

@Article{Boyle:2005:BRA,
  author =       "Thomas Boyle",
  title =        "Book Review: {{\booktitle{The Analysis of Gene
                 Expression Data: Methods and Software}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "14",
  number =       "BR-1",
  pages =        "1--2",
  month =        apr,
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v014.b01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v14/b01",
  abstract =     "In this article a procedure is proposed to simulate
                 fractional fields, which are non Gaussian counterpart
                 of the fractional Brownian motion. These fields, called
                 real harmonizable (multi)fractional L{\'e}vy motions,
                 allow fixing the H{\"o}lder exponent at each point.
                 FracSim is an R package developed in R and C language.
                 Parallel computers have been also used.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-04-14; Accepted 2005-04-14",
}

@Article{Murdoch:2005:BRC,
  author =       "Duncan Murdoch",
  title =        "Book Review: {{\booktitle{Computational
                 Statistics}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "14",
  number =       "BR-2",
  pages =        "1--4",
  month =        apr,
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v014.b02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v14/b02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-04-17; Accepted 2005-04-17",
}

@Article{Pierce:2005:BRI,
  author =       "John G. Pierce",
  title =        "Book Review: {{\booktitle{Introduction to MATLAB with
                 Numerical Preliminaries}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "14",
  number =       "BR-3",
  pages =        "1--3",
  month =        aug,
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v014.b03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v14/b03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-08-01; Accepted 2005-08-01",
}

@Article{deLeeuw:2005:BRM,
  author =       "Jan de Leeuw",
  title =        "Book Review: {{\booktitle{Modern Multidimensional
                 Scaling: Theory and Applications}} (Second Edition)}",
  journal =      j-J-STAT-SOFT,
  volume =       "14",
  number =       "BR-4",
  pages =        "1--2",
  month =        sep,
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v014.b04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v14/b04",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-09-01; Accepted 2005-09-01",
}

@Article{deLeeuw:2005:BRC,
  author =       "Jan de Leeuw",
  title =        "Book Review: {{\booktitle{Correspondence Analysis and
                 Data Coding with Java and R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "14",
  number =       "BR-5",
  pages =        "1--2",
  month =        sep,
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v014.b05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v14/b05",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-09-08; Accepted 2005-09-08",
}

@Article{deLeeuw:2005:BRR,
  author =       "Jan de Leeuw",
  title =        "Book Review: {{\booktitle{An R and S-PLUS Companion to
                 Multivariate Analysis}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "14",
  number =       "BR-6",
  pages =        "1--3",
  month =        sep,
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v014.b06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v14/b06",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-09-16; Accepted 2005-09-16",
}

@Article{Gould:2005:BRU,
  author =       "Robert Gould",
  title =        "Book Review: {{\booktitle{Using R for Introductory
                 Statistics}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "14",
  number =       "BR-7",
  pages =        "1--3",
  month =        nov,
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v014.b07",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v14/b07",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-11-09; Accepted 2005-11-09",
}

@Article{Fox:2005:BRB,
  author =       "John Fox",
  title =        "Book Review: {{\booktitle{The Basics of S-Plus}},
                 Fourth Edition}",
  journal =      j-J-STAT-SOFT,
  volume =       "14",
  number =       "BR-8",
  pages =        "1--3",
  month =        dec,
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v014.b08",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v14/b08",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-12-15; Accepted 2005-12-15",
}

@Article{Nason:2005:PPS,
  author =       "Guy Nason",
  title =        "\pkg{pinktoe}: Semi-automatic Traversal of Trees",
  journal =      j-J-STAT-SOFT,
  volume =       "14",
  number =       "1",
  pages =        "1--11",
  day =          "29",
  month =        apr,
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v014.i01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed May 18 11:18:51 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=127&url=v14/i01&ct=2;
                 http://www.jstatsoft.org/counter.php?id=127&url=v14/i01/v14i01.pdf&ct=1",
  accepted =     "2005-04-19",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  submitted =    "2005-04-19",
  xxtitle =      "pinktoe: Semi-automatic Traversal of Trees",
}

@Article{McMillan:2005:SMB,
  author =       "Garnett McMillan and Timothy Hanson",
  title =        "{SAS} Macro {BDM} for Fitting the {Dale} Regression
                 Model to Bivariate Ordinal Response Data",
  journal =      j-J-STAT-SOFT,
  volume =       "14",
  number =       "2",
  pages =        "1--12",
  day =          "1",
  month =        may,
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v014.i02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed May 18 11:18:51 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/sas.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=127&url=v14/i02&ct=2;
                 http://www.jstatsoft.org/counter.php?id=127&url=v14/i02/v14i02.pdf&ct=1",
  accepted =     "2005-05-01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  submitted =    "2005-05-01",
  xxtitle =      "{SAS} Macro {BDM} for Fitting the Dale Regression
                 Model to Bivariate Ordinal Response Data",
}

@Article{Imai:2005:PMR,
  author =       "Kosuke Imai and David A. {Van Dyk}",
  title =        "\pkg{MNP}: {R} Package for Fitting the {Multinomial
                 Probit Model}",
  journal =      j-J-STAT-SOFT,
  volume =       "14",
  number =       "3",
  pages =        "1--32",
  day =          "8",
  month =        may,
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v014.i03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed May 18 11:18:51 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=128&url=v14/i03&ct=2;
                 http://www.jstatsoft.org/counter.php?id=128&url=v14/i03/v14i03.pdf&ct=1",
  accepted =     "2005-05-08",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  submitted =    "2005-05-08",
  xxtitle =      "{MNP}: R Package for Fitting the Multinomial Probit
                 Model",
}

@Article{Buttrey:2005:CPL,
  author =       "Samuel E. Buttrey",
  title =        "Calling the \pkg{lp\_solve} Linear Program Software
                 from {R}, {S-PLUS} and {Excel}",
  journal =      j-J-STAT-SOFT,
  volume =       "14",
  number =       "4",
  pages =        "1--13",
  day =          "1",
  month =        may,
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v014.i04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed May 18 11:18:51 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=129&url=v14/i04&ct=2;
                 http://www.jstatsoft.org/counter.php?id=129&url=v14/i04/v14i04.pdf&ct=1",
  accepted =     "2005-05-01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  submitted =    "2005-05-01",
  xxtitle =      "Calling the \pkg{lp\_solve} Linear Program Software
                 from R, {S-PLUS} and {Excel}",
}

@Article{Woodward:2005:BBC,
  author =       "Phil Woodward",
  title =        "{BugsXLA}: {Bayes} for the {Common Man}",
  journal =      j-J-STAT-SOFT,
  volume =       "14",
  number =       "5",
  pages =        "1--18",
  day =          "31",
  month =        jan,
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v014.i05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed May 18 11:18:51 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=130&url=v14/i05&ct=2;
                 http://www.jstatsoft.org/counter.php?id=130&url=v14/i05/v14i05.pdf&ct=1",
  abstract =     "The absence of user-friendly software has long been a
                 major obstacle to the routine application of Bayesian
                 methods in business and industry. It will only be
                 through widespread application of the Bayesian approach
                 to real problems that issues, such as the use of prior
                 distributions, can be practically resolved in the same
                 way that the choice of significance levels has been in
                 the classical approach; although most Bayesians would
                 hope for a much more satisfactory resolution. It is
                 only relatively recently that any general purpose
                 Bayesian software has been available; by far the most
                 widely used such package is \pkg{WinBUGS}. Although
                 this software has been designed to enable an extremely
                 wide variety of models to be coded relatively easily,
                 it is unlikely that many will bother to learn the
                 language and its nuances unless they are already highly
                 motivated to try Bayesian methods. This paper describes
                 a graphical user interface, programmed by the author,
                 which facilitates the specification of a wide class of
                 generalised linear mixed models for analysis using
                 WinBUGS. The program, BugsXLA (v2.1), is an Excel
                 Add-In that not only allows the user to specify a model
                 as one would in a package such as SAS or S-PLUS, but
                 also aids the specification of priors and control of
                 the MCMC run itself. Inevitably, developing a program
                 such as this forces one to think again about such
                 issues as choice of default priors, parameterisation
                 and assessing convergence. I have tried to adopt
                 currently perceived good practices, but mainly share my
                 approach so that others can apply it and, through
                 constructive criticism, play a small part in the
                 ultimate development of the first Bayesian software
                 package truly usable by the average data analyst.",
  accepted =     "2005-01-31",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  keywords =     "Bayesian analysis; GLMM; graphical user interface;
                 Microsoft Excel; WinBUGS",
  submitted =    "2005-01-31",
  xxtitle =      "{BugsXLA}: Bayes for the Common Man",
}

@Article{Zeileis:2005:PZS,
  author =       "Achim Zeileis and Gabor Grothendieck",
  title =        "\pkg{zoo}: {S3} Infrastructure for Regular and
                 Irregular Time Series",
  journal =      j-J-STAT-SOFT,
  volume =       "14",
  number =       "6",
  pages =        "1--27",
  day =          "21",
  month =        may,
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v014.i06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Mon Dec 12 11:09:58 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=131&url=v14/i06&ct=2;
                 http://www.jstatsoft.org/counter.php?id=131&url=v14/i06/v14i06.pdf&ct=1",
  abstract =     "\pkg{zoo} is an R package providing an S3 class with
                 methods for indexed totally ordered observations, such
                 as discrete irregular time series. Its key design goals
                 are independence of a particular index/time/date class
                 and consistency with base R and the ``\pkg{ts}'' class
                 for regular time series. This paper describes how these
                 are achieved within \pkg{zoo} and provides several
                 illustrations of the available methods for
                 ``\pkg{zoo}'' objects which include plotting, merging
                 and binding, several mathematical operations,
                 extracting and replacing data and index, coercion and
                 NA handling. A subclass ``\pkg{zooreg}'' embeds regular
                 time series into the ``\pkg{zoo}'' framework and thus
                 bridges the gap between regular and irregular time
                 series classes in R.",
  accepted =     "2005-05-21",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  keywords =     "irregular time series; R; regular time series; S3;
                 totally ordered observations",
  submitted =    "2005-04-27",
  xxtitle =      "zoo: S3 Infrastructure for Regular and Irregular Time
                 Series",
}

@Article{Terpstra:2005:RBA,
  author =       "Jeff T. Terpstra and Joseph W. McKean",
  title =        "Rank-Based Analysis of Linear Models Using {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "14",
  number =       "7",
  pages =        "1--26",
  day =          "1",
  month =        jul,
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v014.i07",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Mon Dec 12 11:09:58 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=132&url=v14/i07&ct=2;
                 http://www.jstatsoft.org/counter.php?id=132&url=v14/i07/v14i07.pdf&ct=1",
  abstract =     "It is well-known that Wilcoxon procedures out perform
                 least squares procedures when the data deviate from
                 normality and/or contain outliers. These procedures can
                 be generalized by introducing weights; yielding
                 so-called weighted Wilcoxon (WW) techniques. In this
                 paper we demonstrate how WW-estimates can be calculated
                 using an L1 regression routine. More importantly, we
                 present a collection of functions that can be used to
                 implement a robust analysis of a linear model based on
                 WW-estimates. For instance, estimation, tests of linear
                 hypotheses, residual analyses, and diagnostics to
                 detect differences in fits for various weighting
                 schemes are discussed. We analyze a regression model,
                 designed experiment, and autoregressive time series
                 model for the sake of illustration. We have chosen to
                 implement the suite of functions using the R
                 statistical software package. Because R is freely
                 available and runs on multiple platforms, WW-estimation
                 and associated inference is now universally
                 accessible.",
  accepted =     "2005-07-01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  keywords =     "estimation; inference; linear models; R functions;
                 rank-based procedures; robust; weighted Wilcoxon
                 estimates",
  submitted =    "2004-04-06",
  xxtitle =      "Rank-Based Analyses of Linear Models Using R",
}

@Article{Hin:2005:ACD,
  author =       "Lin Yee Hin and Vincent Carey",
  title =        "An Algorithm for Clustered Data Generalized Additive
                 Modelling with {S-PLUS}",
  journal =      j-J-STAT-SOFT,
  volume =       "14",
  number =       "8",
  pages =        "1--24",
  day =          "31",
  month =        aug,
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v014.i08",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Mon Dec 12 11:09:58 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=133&url=v14/i08&ct=2;
                 http://www.jstatsoft.org/counter.php?id=133&url=v14/i08/v14i08.pdf&ct=1",
  abstract =     "We present a set of functions in S-PLUS to implement
                 the clustered data generalized additive marginal
                 modelling (CDGAM) strategy proposed by Berhane and
                 Tibshirani (1998). A variety of working correlation
                 structures are supported, and the regression basis may
                 include components from the family of smoothing
                 splines.",
  accepted =     "2005-08-31",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  keywords =     "clustered data analysis; generalized estimating
                 equations",
  submitted =    "2005-01-27",
  xxtitle =      "An Algorithm for Clustered Data Generalized Additive
                 Modelling with S-{PLUS}",
}

@Article{Fox:2005:RCB,
  author =       "John Fox",
  title =        "The {R Commander}: a Basic-Statistics Graphical User
                 Interface to {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "14",
  number =       "9",
  pages =        "1--42",
  day =          "19",
  month =        aug,
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v014.i09",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Mon Dec 12 11:09:58 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=134&url=v14/i09&ct=2;
                 http://www.jstatsoft.org/counter.php?id=134&url=v14/i09/v14i09.pdf&ct=1",
  abstract =     "Unlike S-PLUS, R does not incorporate a statistical
                 graphical user interface (GUI), but it does include
                 tools for building GUIs. Based on the \pkg{tcltk}
                 package (which furnishes an interface to the Tcl/Tk GUI
                 toolkit), the \pkg{Rcmdr} package provides a
                 basic-statistics graphical user interface to R called
                 the R Commander. The design objectives of the R
                 Commander were as follows: to support, through an
                 easy-to-use, extensible, crossplatform GUI, the
                 statistical functionality required for a
                 basic-statistics course (though its current
                 functionality has grown to include support for linear
                 and generalized-linear models, and other more advanced
                 features); to make it relatively di cult to do
                 unreasonable things; and to render visible the
                 relationship between choices made in the GUI and the R
                 commands that they generate. The R Commander uses a
                 simple and familiar menu/dialog-box interface.
                 Top-level menus include File, Edit, Data, Statistics,
                 Graphs, Models, Distributions, Tools, and Help, with
                 the complete menu tree given in the paper. Each dialog
                 box includes a Help button, which leads to a relevant
                 help page. Menu and dialog-box selections generate R
                 commands, which are recorded in a script window and are
                 echoed, along with output, to an output window. The
                 script window also provides the ability to edit, enter,
                 and re-execute commands. Error messages, warnings, and
                 some other information appear in a separate messages
                 window. Data sets in the R Commander are simply R data
                 frames, and can be read from attached packages or
                 imported from files. Although several data frames may
                 reside in memory, only one is active at any given time.
                 There may also be an active statistical model (e.g., an
                 R lm or glm object). The purpose of this paper is to
                 introduce and describe the use of the R Commander GUI;
                 to describe the design and development of the R
                 Commander; and to explain how the R Commander GUI can
                 be extended. The second part of the paper (following a
                 brief introduction) can serve as an introductory guide
                 for students who will use the R Commander",
  accepted =     "2005-08-19",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  keywords =     "R language; statistical education; statistical GUI;
                 statistical software",
  submitted =    "2004-07-22",
  xxtitle =      "The R Commander: A Basic-Statistics Graphical User
                 Interface to R",
}

@Article{Karlis:2005:BPD,
  author =       "Dimitris Karlis and Ioannis Ntzoufras",
  title =        "Bivariate {Poisson} and Diagonal Inflated Bivariate
                 {Poisson} Regression Models in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "14",
  number =       "10",
  pages =        "1--36",
  day =          "5",
  month =        sep,
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v014.i10",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Mon Dec 12 11:09:58 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=135&url=v14/i10&ct=2;
                 http://www.jstatsoft.org/counter.php?id=135&url=v14/i10/v14i10.pdf&ct=1",
  abstract =     "In this paper we present an R package called
                 \pkg{bivpois} for maximum likelihood estimation of the
                 parameters of bivariate and diagonal inflated bivariate
                 Poisson regression models. An Expectation-Maximization
                 (EM) algorithm is implemented. Inflated models allow
                 for modelling both over-dispersion (or
                 under-dispersion) and negative correlation and thus
                 they are appropriate for a wide range of applications.
                 Extensions of the algorithms for several other models
                 are also discussed. Detailed guidance and
                 implementation on simulated and real data sets using
                 \pkg{bivpois} package is provided.",
  accepted =     "2005-09-05",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  keywords =     "bivariate Poisson distribution; EM algorithm;
                 multivariate count data; R functions; zero and diagonal
                 inflated models",
  submitted =    "2003-11-14",
  xxtitle =      "Bivariate Poisson and Diagonal Inflated Bivariate
                 Poisson Regression Models in R",
}

@Article{Brezger:2005:BAB,
  author =       "Andreas Brezger and Thomas Kneib and Stefan Lang",
  title =        "{BayesX}: Analyzing {Bayesian} Structural Additive
                 Regression Models",
  journal =      j-J-STAT-SOFT,
  volume =       "14",
  number =       "11",
  pages =        "1--22",
  day =          "9",
  month =        sep,
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v014.i11",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Mon Dec 12 11:09:58 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=136&url=v14/i11&ct=2;
                 http://www.jstatsoft.org/counter.php?id=136&url=v14/i11/v14i11.pdf&ct=1",
  abstract =     "There has been much recent interest in Bayesian
                 inference for generalized additive and related models.
                 The increasing popularity of Bayesian methods for these
                 and other model classes is mainly caused by the
                 introduction of Markov chain Monte Carlo (MCMC)
                 simulation techniques which allow realistic modeling of
                 complex problems. This paper describes the capabilities
                 of the free software package \pkg{BayesX} for
                 estimating regression models with structured additive
                 predictor based on MCMC inference. The program extends
                 the capabilities of existing software for
                 semiparametric regression included in S-PLUS, SAS, R or
                 Stata. Many model classes well known from the
                 literature are special cases of the models supported by
                 BayesX. Examples are generalized additive (mixed)
                 models, dynamic models, varying coefficient models,
                 geoadditive models, geographically weighted regression
                 and models for space-time regression. BayesX supports
                 the most common distributions for the response
                 variable. For univariate responses these are Gaussian,
                 Binomial, Poisson, Gamma, negative Binomial, zero
                 inflated Poisson and zero inflated negative binomial.
                 For multicategorical responses, both multinomial logit
                 and probit models for unordered categories of the
                 response as well as cumulative threshold models for
                 ordered categories can be estimated. Moreover, BayesX
                 allows the estimation of complex continuous time
                 survival and hazard rate models.",
  accepted =     "2005-09-09",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  keywords =     "geoadditive models; MCMC; mixed models; space-time
                 regression; structured additive regression",
  submitted =    "2004-06-18",
  xxtitle =      "{BayesX}: Analyzing Bayesian Structured Additive
                 Regression Models",
}

@Article{Hornik:2005:CCE,
  author =       "Kurt Hornik",
  title =        "A {CLUE} for {CLUster Ensembles}",
  journal =      j-J-STAT-SOFT,
  volume =       "14",
  number =       "12",
  pages =        "1--25",
  day =          "20",
  month =        sep,
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v014.i12",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Mon Dec 12 11:09:58 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=137&url=v14/i12&ct=2;
                 http://www.jstatsoft.org/counter.php?id=137&url=v14/i12/v14i12.pdf&ct=1",
  abstract =     "Cluster ensembles are collections of individual
                 solutions to a given clustering problem which are
                 useful or necessary to consider in a wide range of
                 applications. The R package \pkg{clue} provides an
                 extensible computational environment for creating and
                 analyzing cluster ensembles, with basic data structures
                 for representing partitions and hierarchies, and
                 facilities for computing on these, including methods
                 for measuring proximity and obtaining consensus and
                 secondary clusterings.",
  accepted =     "2005-09-20",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  keywords =     "cluster ensembles; cluster proximities; consensus
                 clusterings; hierarchies; partitions; secondary
                 clusterings",
  submitted =    "2005-05-13",
  xxtitle =      "A {CLUE} for {CLUster} Ensembles",
}

@Article{Marsaglia:2005:MGF,
  author =       "George Marsaglia",
  title =        "Monkeying with the Goodness-of-Fit Test",
  journal =      j-J-STAT-SOFT,
  volume =       "14",
  number =       "13",
  pages =        "1--4",
  day =          "20",
  month =        sep,
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v014.i13",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Mon Dec 12 11:09:58 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=138&url=v14/i13&ct=2;
                 http://www.jstatsoft.org/counter.php?id=138&url=v14/i13/v14i13.pdf&ct=1",
  abstract =     "The familiar $ \sum P(\textrm {OBS} - \textrm {EXP})^2
                 / \textrm {EXP} $ goodness-of-fit measure is commonly
                 used to test whether an observed sequence came from the
                 realization of $n$ independent identically distributed
                 (iid) discrete random variables. It can be quite
                 effective for testing for identical distribution, but
                 is not suited for assessing independence, as it pays no
                 attention to the order in which output values are
                 received.\par

                 This note reviews a way to adjust or tamper, that is,
                 monkey-with the classical test to make it test for
                 independence as well as identical distribution in
                 short, to test for both the i's in iid, using monkey
                 tests similar to those in the Diehard Battery of Tests
                 of Randomness (Marsaglia 1995).",
  accepted =     "2005-09-20",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  keywords =     "$\chi^2$; goodness of fit; monkey tests; overlapping
                 m-tuples",
  submitted =    "2005-05-01",
  xxtitle =      "Monkeying with the Goodness-of-Fit Test",
}

@Article{Crainiceanu:2005:BAP,
  author =       "Ciprian M. Crainiceanu and David Ruppert and Matthew
                 P. Wand",
  title =        "{Bayesian} Analysis for Penalized Spline Regression
                 Using {WinBUGS}",
  journal =      j-J-STAT-SOFT,
  volume =       "14",
  number =       "14",
  pages =        "1--24",
  day =          "29",
  month =        sep,
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v014.i14",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Mon Dec 12 11:09:58 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=139&url=v14/i14&ct=2;
                 http://www.jstatsoft.org/counter.php?id=139&url=v14/i14/v14i14.pdf&ct=1",
  abstract =     "Penalized splines can be viewed as BLUPs in a mixed
                 model framework, which allows the use of mixed model
                 software for smoothing. Thus, software originally
                 developed for Bayesian analysis of mixed models can be
                 used for penalized spline regression. Bayesian
                 inference for nonparametric models enjoys the
                 flexibility of nonparametric models and the exact
                 inference provided by the Bayesian inferential
                 machinery. This paper provides a simple, yet
                 comprehensive, set of programs for the implementation
                 of nonparametric Bayesian analysis in WinBUGS. Good
                 mixing properties of the MCMC chains are obtained by
                 using low-rank thin-plate splines, while simulation
                 times per iteration are reduced employing WinBUGS
                 specific computational tricks.",
  accepted =     "2005-09-29",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  keywords =     "MCMC; semiparametric regression",
  submitted =    "2004-03-18",
  xxtitle =      "Bayesian Analysis for Penalized Spline Regression
                 Using {WinBUGS}",
}

@Article{Hahsler:2005:PAC,
  author =       "Michael Hahsler and Bettina Gr{\"u}n and Kurt Hornik",
  title =        "\pkg{arules} --- a Computational Environment for
                 Mining Association Rules and Frequent Item Sets",
  journal =      j-J-STAT-SOFT,
  volume =       "14",
  number =       "15",
  pages =        "1--25",
  day =          "29",
  month =        sep,
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v014.i15",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Mon Dec 12 11:09:58 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=140&url=v14/i15&ct=2;
                 http://www.jstatsoft.org/counter.php?id=140&url=v14/i15/v14i15.pdf&ct=1",
  abstract =     "Mining frequent itemsets and association rules is a
                 popular and well researched approach for discovering
                 interesting relationships between variables in large
                 databases. The R package \pkg{arules} presented in this
                 paper provides a basic infrastructure for creating and
                 manipulating input data sets and for analyzing the
                 resulting itemsets and rules. The package also includes
                 interfaces to two fast mining algorithms, the popular C
                 implementations of Apriori and Eclat by Christian
                 Borgelt. These algorithms can be used to mine frequent
                 itemsets, maximal frequent itemsets, closed frequent
                 itemsets and association rules.",
  accepted =     "2005-09-29",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  keywords =     "association rules; data mining; frequent itemsets;
                 R.",
  submitted =    "2005-04-15",
  xxtitle =      "arules - A Computational Environment for Mining
                 Association Rules and Frequent Item Sets",
}

@Article{Hankin:2005:IBR,
  author =       "Robin K. S. Hankin",
  title =        "Introducing {BACCO}, an {R} Bundle for {Bayesian}
                 Analysis of Computer Code Output",
  journal =      j-J-STAT-SOFT,
  volume =       "14",
  number =       "16",
  pages =        "1--21",
  day =          "19",
  month =        oct,
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v014.i16",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Mon Dec 12 11:09:58 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=141&url=v14/i16&ct=2;
                 http://www.jstatsoft.org/counter.php?id=141&url=v14/i16/v14i16.pdf&ct=1",
  abstract =     "This paper introduces the BACCO bundle of R routines
                 for carrying out Bayesian analysis of computer code
                 output. The bundle comprises packages \pkg{emulator}
                 and \pkg{calibrator}, computerized implementations of
                 the ideas of Oakley and O Hagan (2002) and Kennedy and
                 O Hagan (2001a) respectively. The bundle is
                 self-contained and fully documented R code, and
                 includes a toy dataset that furnishes a working example
                 of the functions.\par

                 Package \pkg{emulator} carries out Bayesian emulation
                 of computer code output; package \pkg{calibrator}
                 allows the incorporation of observational data into
                 model calibration using Bayesian techniques.\par

                 The package is then applied to a dataset taken from
                 climate science.",
  accepted =     "2005-10-19",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  keywords =     "Bayesian analysis; climate modelling; uncertainty in
                 climate prediction",
  submitted =    "2005-06-09",
  xxtitle =      "Introducing {BACCO}, an R Bundle for Bayesian Analysis
                 of Computer Code Output",
}

@Article{Dethlefsen:2005:CPG,
  author =       "Claus Dethlefsen and S{\o}ren H{\o}jsgaard",
  title =        "A Common Platform for Graphical Models in {R}: The
                 {gRbase} Package",
  journal =      j-J-STAT-SOFT,
  volume =       "14",
  number =       "17",
  pages =        "1--12",
  day =          "3",
  month =        dec,
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v014.i17",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Mon Dec 12 11:09:58 2005",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/counter.php?id=142&url=v14/i17&ct=2;
                 http://www.jstatsoft.org/counter.php?id=142&url=v14/i17/v14i17.pdf&ct=1",
  abstract =     "The \pkg{gRbase} package is intended to set the
                 framework for computer packages for data analysis using
                 graphical models. The \pkg{gRbase} package is developed
                 for the open source language, R, and is available for
                 several platforms. The package is intended to be widely
                 extendible and flexible so that package developers may
                 implement further types of graphical models using the
                 available methods.\par

                 The \pkg{gRbase} package consists of a set of S version
                 3 classes and associated methods for representing data
                 and models. The package is linked to the
                 \pkg{dynamicGraph} package (Badsberg 2005), an
                 interactive graphical user interface for manipulating
                 graphs.\par

                 In this paper, we show how these building blocks can be
                 combined and integrated with inference engines in the
                 special cases of hierarchical log-linear models. We
                 also illustrate how to extend the package to deal with
                 other types of graphical models, in this case the
                 graphical Gaussian models.",
  accepted =     "2005-12-03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  keywords =     "",
  submitted =    "2005-08-10",
  xxtitle =      "A Common Platform for Graphical Models in R: The
                 {gRbase} Package",
}

@Article{Dejean:2005:FRP,
  author =       "S{\'e}bastien D{\'e}jean and Serge Cohen",
  title =        "{FracSim}: An {R} Package to Simulate Multifractional
                 {L{\'e}vy} Motions",
  journal =      j-J-STAT-SOFT,
  volume =       "14",
  number =       "18",
  pages =        "1--19",
  month =        dec,
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v014.i18",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v14/i18",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-10-06; Accepted 2005-12-08",
  xxtitle =      "{FracSim}: An R Package to Simulate Multifractional
                 L{\'e}vy Motions",
}

@Article{Newson:2005:ECJ,
  author =       "Roger Newson",
  title =        "Efficient Calculation of Jackknife Confidence
                 Intervals for Rank Statistics",
  journal =      j-J-STAT-SOFT,
  volume =       "15",
  number =       "1",
  pages =        "1--10",
  month =        dec,
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v015.i01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v15/i01",
  abstract =     "An algorithm is presented for calculating
                 concordance-discordance totals in a time of order $ N
                 \log N $, where $N$ is the number of observations,
                 using a balanced binary search tree. These totals can
                 be used to calculate jackknife estimates and confidence
                 limits in the same time order for a very wide range of
                 rank statistics, including Kendall's $ \tau $, Somers'
                 $D$, Harrell's $c$, the area under the receiver
                 operating characteristic (ROC) curve, the Gini
                 coefficient, and the parameters underlying the sign and
                 rank-sum tests. A Stata package is introduced for
                 calculating confidence intervals for these rank
                 statistics using this algorithm, which has been
                 implemented in the Mata compilable matrix programming
                 language supplied with Stata",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-08-24; Accepted 2005-12-16",
  xxtitle =      "Efficient Calculation of Jackknife Confidence
                 Intervals for Rank Statistics",
  xxyear =       "2006",
}

@Article{Smith:2005:JES,
  author =       "Christina D. Smith and Jeffrey S. Pontius",
  title =        "Jackknife Estimator of Species Richness with
                 {S-PLUS}",
  journal =      j-J-STAT-SOFT,
  volume =       "15",
  number =       "3",
  pages =        "1--12",
  month =        dec,
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v015.i03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v15/i03",
  abstract =     "An estimate of the number of species, $S$, usually
                 called species richness by ecologists, in an area is
                 one of the basic statistics used to ascertain
                 biological diversity. Traditionally ecologists have
                 used the number of species observed in a sample, $
                 S_0$, to estimate $S$, realizing that $ S_0$ is a lower
                 bound for $S$. One alternative to $ S_0$ is to use a
                 nonparametric procedure such as jackknife resampling.
                 For species richness, a closed form of the jackknife
                 estimator is available. Typically statistical software
                 contains only the traditional iterative form of the
                 jackknife estimator. The purpose of this article is to
                 propose an S-PLUS function for calculating the
                 noniterative first order jackknife estimator of species
                 richness and some associated plots and statistics.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2004-09-30; Accepted 2005-12-05",
  xxtitle =      "Jackknife Estimator of Species Richness with
                 S-{PLUS}",
  xxyear =       "2006",
}

@Article{Stoll:2005:WRS,
  author =       "Heather Stoll and Gary King and Langche Zeng",
  title =        "{WhatIf}: {R} Software for Evaluating
                 Counterfactuals",
  journal =      j-J-STAT-SOFT,
  volume =       "15",
  number =       "4",
  pages =        "1--18",
  month =        dec,
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v015.i04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v15/i04",
  abstract =     "WhatIf is an R package that implements the methods for
                 evaluating counterfactuals introduced in King and Zeng
                 (2006a) and King and Zeng (2006b). It offers
                 easy-to-use techniques for assessing a counterfactual's
                 model dependence without having to conduct sensitivity
                 testing over specified classes of models. These same
                 methods can be used to approximate the common support
                 of the treatment and control groups in causal
                 inference.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-11-09; Accepted 2005-12-10",
  xxtitle =      "{WhatIf}: R Software for Evaluating Counterfactuals",
  xxyear =       "2006",
}

@Article{Knoke:2005:ARM,
  author =       "James D. Knoke and Christy M. Anderson and Gary G.
                 Koch",
  title =        "Analyzing Repeated Measures Marginal Models on Sample
                 Surveys with Resampling Methods",
  journal =      j-J-STAT-SOFT,
  volume =       "15",
  number =       "8",
  pages =        "1--13",
  month =        dec,
  year =         "2005",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v015.i08",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v15/i08",
  abstract =     "Packaged statistical software for analyzing
                 categorical, repeated measures marginal models on
                 sample survey data with binary covariates does not
                 appear to be available. Consequently, this report
                 describes a customized SAS program which accomplishes
                 such an analysis on survey data with jackknifed
                 replicate weights for which the primary sampling unit
                 information has been suppressed for respondent
                 confidentiality. First, the program employs the Macro
                 Language and the Output Delivery System (ODS) to
                 estimate the means and covariances of indicator
                 variables for the response variables, taking the design
                 into account. Then, it uses PROC CATMOD and ODS,
                 ignoring the survey design, to obtain the design matrix
                 and hypothesis test specifications. Finally, it enters
                 these results into another run of CATMOD, which
                 performs automated direct input of the survey design
                 specifications and accomplishes the appropriate
                 analysis. This customized SAS program can be employed,
                 with minor editing, to analyze general categorical,
                 repeated measures marginal models on sample surveys
                 with replicate weights. Finally, the results of our
                 analysis accounting for the survey design are compared
                 to the results of two alternate analyses of the same
                 data. This comparison confirms that such alternate
                 analyses, which do not properly account for the design,
                 do not produce useful results.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-09-12; Accepted 2005-12-14",
  xxtitle =      "Analyzing Repeated Measures Marginal Models on Sample
                 Surveys with Resampling Methods",
  xxyear =       "2006",
}

@Article{Halekoh:2006:RPP,
  author =       "Ulrich Halekoh and S{\o}ren H{\o}jsgaard and Jun Yan",
  title =        "The {R} Package \pkg{geepack} for Generalized
                 Estimating Equations",
  journal =      j-J-STAT-SOFT,
  volume =       "15",
  number =       "2",
  pages =        "1--11",
  month =        jan,
  year =         "2006",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v015.i02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v15/i02",
  abstract =     "This paper describes the core features of the R
                 package \pkg{geepack}, which implements the generalized
                 estimating equations (GEE) approach for fitting
                 marginal generalized linear models to clustered data.
                 Clustered data arise in many applications such as
                 longitudinal data and repeated measures. The GEE
                 approach focuses on models for the mean of the
                 correlated observations within clusters without fully
                 specifying the joint distribution of the observations.
                 It has been widely used in statistical practice. This
                 paper illustrates the application of the GEE approach
                 with \pkg{geepack} through an example of clustered
                 binary data.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-06-17; Accepted 2005-12-22",
}

@Article{Tanimura:2006:PSM,
  author =       "Susumu Tanimura and Chusi Kuroiwa and Tsutomu Mizota",
  title =        "Proportional Symbol Mapping in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "15",
  number =       "5",
  pages =        "1--7",
  month =        jan,
  year =         "2006",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v015.i05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v15/i05",
  abstract =     "Visualization of spatial data on a map aids not only
                 in data exploration but also in communication to impart
                 spatial conception or ideas to others. Although recent
                 cartographic functions in R are rapidly becoming
                 richer, proportional symbol mapping, which is one of
                 the common mapping approaches, has not been packaged
                 thus far. Based on the theories of proportional symbol
                 mapping developed in cartography, the authors developed
                 some functions for proportional symbol mapping using R,
                 including mathematical and perceptual scaling. An
                 example of these functions demonstrated the new
                 expressive power and options available in R,
                 particularly for the visualization of conceptual point
                 data.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-10-02; Accepted 2006-01-24",
  xxtitle =      "Proportional Symbol Mapping in R",
}

@Article{Marchetti:2006:IIG,
  author =       "Giovanni M. Marchetti",
  title =        "Independencies Induced from a Graphical {Markov} Model
                 After Marginalization and Conditioning: The {R} Package
                 \pkg{ggm}",
  journal =      j-J-STAT-SOFT,
  volume =       "15",
  number =       "6",
  pages =        "1--15",
  month =        feb,
  year =         "2006",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v015.i06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v15/i06",
  abstract =     "We describe some functions in the R package \pkg{ggm}
                 to derive from a given Markov model, represented by a
                 directed acyclic graph, different types of graphs
                 induced after marginalizing over and conditioning on
                 some of the variables. The package has a few basic
                 functions that find the essential graph, the induced
                 concentration and covariance graphs, and several types
                 of chain graphs implied by the directed acyclic graph
                 (DAG) after grouping and reordering the variables.
                 These functions can be useful to explore the impact of
                 latent variables or of selection effects on a chosen
                 data generating model.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-06-21; Accepted 2006-02-08",
  xxtitle =      "Independencies Induced from a Graphical Markov Model
                 after Marginalization and Conditioning: The R Package
                 ggm",
}

@Article{Hankin:2006:IPE,
  author =       "Robin K. S. Hankin",
  title =        "Introducing \pkg{elliptic}, an {R} Package for
                 Elliptic and Modular Functions",
  journal =      j-J-STAT-SOFT,
  volume =       "15",
  number =       "7",
  pages =        "1--22",
  month =        jan,
  year =         "2006",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v015.i07",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v15/i07",
  abstract =     "This paper introduces the \pkg{elliptic} package of R
                 routines, for numerical calculation of elliptic and
                 related functions. Elliptic functions furnish
                 interesting and instructive examples of many ideas of
                 complex analysis, and the package illustrates these
                 numerically and visually. A statistical application in
                 fluid mechanics is presented.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-07-13; Accepted 2006-01-18",
  xxtitle =      "Introducing elliptic, an R Package for Elliptic and
                 Modular Functions",
}

@Article{Karatzoglou:2006:SVM,
  author =       "Alexandros Karatzoglou and David Meyer and Kurt
                 Hornik",
  title =        "Support Vector Machines in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "15",
  number =       "9",
  pages =        "1--28",
  month =        apr,
  year =         "2006",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v015.i09",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v15/i09",
  abstract =     "Being among the most popular and efficient
                 classification and regression methods currently
                 available, implementations of support vector machines
                 exist in almost every popular programming language.
                 Currently four R packages contain SVM related software.
                 The purpose of this paper is to present and compare
                 these implementations.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-10-24; Accepted 2006-04-06",
  xxtitle =      "Support Vector Machines in R",
}

@Article{Kim:2006:CRP,
  author =       "Donghoh Kim and Hee-Seok Oh",
  title =        "{CVTresh}: {R} Package for Level-Dependent
                 Cross-Validation Thresholding",
  journal =      j-J-STAT-SOFT,
  volume =       "15",
  number =       "10",
  pages =        "1--13",
  month =        apr,
  year =         "2006",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v015.i10",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v15/i10",
  abstract =     "The core of the wavelet approach to nonparametric
                 regression is thresholding of wavelet coefficients.
                 This paper reviews a cross-validation method for the
                 selection of the thresholding value in wavelet
                 shrinkage of Oh, Kim, and Lee (2006), and introduces
                 the R package CVThresh implementing details of the
                 calculations for the procedures.\par

                 This procedure is implemented by coupling a
                 conventional cross-validation with a fast imputation
                 method, so that it overcomes a limitation of data
                 length, a power of 2. It can be easily applied to the
                 classical leave-one-out cross-validation and K-fold
                 cross-validation. Since the procedure is
                 computationally fast, a level-dependent
                 cross-validation can be developed for wavelet shrinkage
                 of data with various sparseness according to levels.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-08-22; Accepted 2006-04-08",
  xxtitle =      "{CVThresh}: R Package for Level-Dependent
                 Cross-Validation Thresholding",
}

@Article{Elam:2006:CPC,
  author =       "Matthew E. Elam and Kenneth E. Case",
  title =        "A Computer Program to Calculate Two-Stage Short-Run
                 Control Chart Factors for ({X, MR}) Charts",
  journal =      j-J-STAT-SOFT,
  volume =       "15",
  number =       "11",
  pages =        "1--13",
  month =        apr,
  year =         "2006",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v015.i11",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v15/i11",
  abstract =     "This paper is the second in a series of two papers
                 that fully develops two-stage short-run (X, MR) control
                 charts. This paper describes the development and
                 execution of a computer program that accurately
                 calculates first- and second-stage short-run control
                 chart factors for (X, MR) charts using the equations
                 derived in the first paper. The software used is
                 Mathcad. The program accepts values for number of
                 subgroups, $ \alpha $ for the X chart, and $ \alpha $
                 for the MR chart both above the upper control limit and
                 below the lower control limit. Tables are generated for
                 specific values of these inputs and the implications of
                 the results are discussed. A numerical example
                 illustrates the use of the program.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-10-19; Accepted 2005-04-13",
  xxtitle =      "A Computer Program to Calculate Two-Stage Short-Run
                 Control Chart Factors for ( X, {MR} ) Charts",
}

@Article{Dastidar:2006:GSP,
  author =       "Surajit Ghosh Dastidar",
  title =        "{Gompertz}: a {Scilab} Program for Estimating
                 {Gompertz} Curve Using {Gauss--Newton} Method of Least
                 Squares",
  journal =      j-J-STAT-SOFT,
  volume =       "15",
  number =       "12",
  pages =        "1--12",
  month =        apr,
  year =         "2006",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v015.i12",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v15/i12",
  abstract =     "A computer program for estimating Gompertz curve using
                 Gauss0-Newton method of least squares is described in
                 detail. It is based on the estimation technique
                 proposed in Reddy (1985). The program is developed
                 using Scilab (version 3.1.1), a freely available
                 scientific software package that can be downloaded from
                 \path=http://www.scilab.org/=. Data is to be fed into
                 the program from an external disk file which should be
                 in Microsoft Excel format. The output will contain
                 sample size, tolerance limit, a list of initial as well
                 as the final estimate of the parameters, standard
                 errors, value of Gauss-Normal equations namely $ G N_1
                 $, $ G N_2 $, and $ G N_3 $, No. of iterations,
                 variance ($ \sigma^2$), Durbin-Watson statistic,
                 goodness of fit measures such as $ R^2$, $D$ value,
                 covariance matrix and residuals. It also displays a
                 graphical output of the estimated curve vis a vis the
                 observed curve. It is an improved version of the
                 program proposed in Dastidar (2005).",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-08-29; Accepted 2006-04-13",
  xxtitle =      "Gompertz: A Scilab Program for Estimating Gompertz
                 Curve Using Gauss-Newton Method of Least Squares",
}

@Article{Xu:2006:BRD,
  author =       "Hongquan Xu",
  title =        "Book Review: {{\booktitle{Discovering Knowledge in
                 Data: An Introduction to Data Mining}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "16",
  number =       "BR-1",
  pages =        "1--2",
  month =        may,
  year =         "2006",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v016.b01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v16/b01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-05-22; Accepted 2006-05-22",
}

@Article{deLeeuw:2006:BRB,
  author =       "Jan de Leeuw",
  title =        "Book Review: {{\booktitle{Robust Statistical Methods
                 with R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "16",
  number =       "BR-2",
  pages =        "1--2",
  month =        jul,
  year =         "2006",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v016.b02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v16/b02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-07-07; Accepted 2006-07-07",
}

@Article{Maindonald:2006:BRB,
  author =       "John Maindonald",
  title =        "Book Review: {{\booktitle{Generalized Additive Models:
                 An Introduction with R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "16",
  number =       "BR-3",
  pages =        "1--2",
  month =        jul,
  year =         "2006",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v016.b03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v16/b03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-07-12; Accepted 2006-07-12",
}

@Article{Sanchez:2006:BRB,
  author =       "Juana Sanchez",
  title =        "Book Review: {{\booktitle{Handbook of Univariate and
                 Multivariate Data Analysis and Interpretation with
                 SPSS}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "16",
  number =       "BR-4",
  pages =        "1--3",
  month =        jul,
  year =         "2006",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v016.b04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v16/b04",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-07-19; Accepted 2006-07-19",
}

@Article{Sparapani:2006:BRB,
  author =       "Rodney Sparapani",
  title =        "Book Review: {{\booktitle{Statistical Analysis of
                 Medical Data Using SAS}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "16",
  number =       "BR-5",
  pages =        "1--5",
  month =        jul,
  year =         "2006",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v016.b05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v16/b05",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-07-26; Accepted 2006-07-26",
}

@Article{Hilbe:2006:BRB,
  author =       "Joseph Hilbe",
  title =        "Book Review: {{\booktitle{A Handbook of Statistical
                 Analyses Using R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "16",
  number =       "BR-6",
  pages =        "1--6",
  month =        aug,
  year =         "2006",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v016.b06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v16/b06",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-08-12; Accepted 2006-08-12",
}

@Article{Bullard:2006:BRB,
  author =       "James Bullard",
  title =        "Book Review: {{\booktitle{R Graphics}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "16",
  number =       "BR-7",
  pages =        "1--3",
  month =        oct,
  year =         "2006",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v016.b07",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v16/b07",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-10-11; Accepted 2006-10-11",
}

@Article{Hankin:2006:CSA,
  author =       "Robin K. S. Hankin",
  title =        "Code Snippet: Additive Integer Partitions in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "16",
  number =       "CS-1",
  pages =        "1--3",
  month =        may,
  year =         "2006",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v016.c01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v16/c01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-04-27; Accepted 2006-05-17",
}

@Article{Nadarajah:2006:CSR,
  author =       "Saralees Nadarajah and Samuel Kotz",
  title =        "Code Snippet: {R} Programs for Truncated
                 Distributions",
  journal =      j-J-STAT-SOFT,
  volume =       "16",
  number =       "CS-2",
  pages =        "1--8",
  month =        aug,
  year =         "2006",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v016.c02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v16/c02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-06-06; Accepted 2006-08-17",
}

@Article{Shin:2006:CSL,
  author =       "Ji-Hyung Shin and Sigal Blay and Brad McNeney and
                 Jinko Graham",
  title =        "Code Snippet: {LDheatmap}: An {R} Function for
                 Graphical Display of Pairwise Linkage Disequilibria
                 Between Single Nucleotide Polymorphisms",
  journal =      j-J-STAT-SOFT,
  volume =       "16",
  number =       "CS-3",
  pages =        "1--9",
  month =        sep,
  year =         "2006",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v016.c03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v16/c03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-05-15; Accepted 2006-09-20",
}

@Article{Dethlefsen:2006:FSS,
  author =       "Claus Dethlefsen and S{\o}ren Lundbye-Christensen",
  title =        "Formulating State Space Models in {R} with Focus on
                 Longitudinal Regression Models",
  journal =      j-J-STAT-SOFT,
  volume =       "16",
  number =       "1",
  pages =        "1--15",
  month =        apr,
  year =         "2006",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v016.i01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v16/i01",
  abstract =     "We provide a language for formulating a range of state
                 space models with response densities within the
                 exponential family. The described methodology is
                 implemented in the R-package sspir. A state space model
                 is specified similarly to a generalized linear model in
                 R, and then the time-varying terms are marked in the
                 formula. Special functions for specifying polynomial
                 time trends, harmonic seasonal patterns, unstructured
                 seasonal patterns and time-varying covariates can be
                 used in the formula. The model is fitted to data using
                 iterated extended Kalman filtering, but the formulation
                 of models does not depend on the implemented method of
                 inference. The package is demonstrated on three
                 datasets.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-05-25; Accepted 2006-04-26",
  xxtitle =      "Formulating State Space Models in R with Focus on
                 Longitudinal Regression Models",
}

@Article{Burkett:2006:HSL,
  author =       "Kelly Burkett and Jinko Graham and Brad McNeney",
  title =        "\pkg{hapassoc}: Software for Likelihood Inference of
                 Trait Associations with {SNP} Haplotypes and Other
                 Attributes",
  journal =      j-J-STAT-SOFT,
  volume =       "16",
  number =       "2",
  pages =        "1--19",
  month =        apr,
  year =         "2006",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v016.i02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v16/i02",
  abstract =     "Complex medical disorders, such as heart disease and
                 diabetes, are thought to involve a number of genes
                 which act in conjunction with lifestyle and
                 environmental factors to increase disease
                 susceptibility. Associations between complex traits and
                 single nucleotide polymorphisms (SNPs) in candidate
                 genomic regions can provide a useful tool for
                 identifying genetic risk factors. However, analysis of
                 trait associations with single SNPs ignores the
                 potential for extra information from haplotypes,
                 combinations of variants at multiple SNPs along a
                 chromosome inherited from a parent. When
                 haplotype-trait associations are of interest and
                 haplotypes of individuals can be determined,
                 generalized linear models (GLMs) may be used to
                 investigate haplotype associations while adjusting for
                 the effects of non-genetic cofactors or attributes.
                 Unfortunately, haplotypes cannot always be determined
                 cost-effectively when data is collected on unrelated
                 subjects. Uncertain haplotypes may be inferred on the
                 basis of data from single SNPs. However, subsequent
                 analyses of risk factors must account for the resulting
                 uncertainty in haplotype assignment in order to avoid
                 potential errors in interpretation. To account for such
                 uncertainty, we have developed \pkg{hapassoc}, software
                 for R implementing a likelihood approach to inference
                 of haplotype and non-genetic effects in GLMs of trait
                 associations. We provide a description of the
                 underlying statistical method and illustrate the use of
                 \pkg{hapassoc} with examples that highlight the
                 flexibility to specify dominant and recessive effects
                 of genetic risk factors, a feature not shared by other
                 software that restricts users to additive effects only.
                 Additionally, \pkg{hapassoc} can accommodate missing
                 SNP genotypes for limited numbers of subjects.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-10-20; Accepted 2006-04-26",
  xxtitle =      "hapassoc: Software for Likelihood Inference of Trait
                 Associations with {SNP} Haplotypes and Other
                 Attributes",
}

@Article{McBane:2006:PCD,
  author =       "George C. McBane",
  title =        "Programs to Compute Distribution Functions and
                 Critical Values for Extreme Value Ratios for Outlier
                 Detection",
  journal =      j-J-STAT-SOFT,
  volume =       "16",
  number =       "3",
  pages =        "1--9",
  month =        may,
  year =         "2006",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v016.i03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v16/i03",
  abstract =     "A set of FORTRAN subprograms is presented to compute
                 density and cumulative distribution functions and
                 critical values for the range ratio statistics of Dixon
                 (1951, The Annals of Mathematical Statistics ) These
                 statistics are useful for detection of outliers in
                 small samples.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-01-09; Accepted 2006-05-04",
  xxtitle =      "Programs to Compute Distribution Functions and
                 Critical Values for Extreme Value Ratios for Outlier
                 Detection",
}

@Article{Marsaglia:2006:RNV,
  author =       "George Marsaglia",
  title =        "Ratios of Normal Variables",
  journal =      j-J-STAT-SOFT,
  volume =       "16",
  number =       "4",
  pages =        "1--10",
  month =        may,
  year =         "2006",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v016.i04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v16/i04",
  abstract =     "This article extends and amplifies on results from a
                 paper of over forty years ago. It provides software for
                 evaluating the density and distribution functions of
                 the ratio $ z / w $ for any two jointly normal variates
                 $z$, $w$, and provides details on methods for
                 transforming a general ratio $ z / w$ into a standard
                 form, $ (a + x) / (b + y)$, with $x$ and $y$
                 independent standard normal and $a$, $b$ non-negative
                 constants. It discusses handling general ratios when,
                 in theory, none of the moments exist yet practical
                 considerations suggest there should be approximations
                 whose adequacy can be verified by means of the included
                 software. These approximations show that many of the
                 ratios of normal variates encountered in practice can
                 themselves be taken as normally distributed. A
                 practical rule is developed: If $ a < 2.256$ and $ 4 <
                 b$ then the ratio $ (a + x) / (b + y)$ is itself
                 approximately normally distributed with mean $ \mu = a
                 / (1.01 b - 0.2713)$ and variance $ \sigma^2 = (a^2 +
                 1) / (b^2 + 0.108 b - 3.795) \mu^2$.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-03-07; Accepted 2006-05-11",
  xxtitle =      "Ratios of Normal Variables",
}

@Article{Nevalainen:2006:SIM,
  author =       "Jaakko Nevalainen and Hannu Oja",
  title =        "{SAS\slash IML} Macros for a Multivariate Analysis of
                 Variance Based on Spatial Signs",
  journal =      j-J-STAT-SOFT,
  volume =       "16",
  number =       "5",
  pages =        "1--17",
  month =        may,
  year =         "2006",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v016.i05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/sas.bib",
  URL =          "http://www.jstatsoft.org/v16/i05",
  abstract =     "Recently, new nonparametric multivariate extensions of
                 the univariate sign methods have been proposed. Randles
                 (2000) introduced an affine invariant multivariate sign
                 test for the multivariate location problem. Later on,
                 Hettmansperger and Randles (2002) considered an affine
                 equivariant multivariate median corresponding to this
                 test. The new methods have promising efficiency and
                 robustness properties. In this paper, we review these
                 developments and compare them with the classical
                 multivariate analysis of variance model. A new SAS/IML
                 tool for performing a spatial sign based multivariate
                 analysis of variance is introduced.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2004-11-23; Accepted 2006-05-17",
  xxtitle =      "{SAS}/{IML} Macros for a Multivariate Analysis of
                 Variance Based on Spatial Signs",
}

@Article{Husing:2006:ARA,
  author =       "Johannes H{\"u}sing",
  title =        "An Accept-and-Reject Algorithm to Sample from a Set of
                 Permutations Restricted by a Time Constraint",
  journal =      j-J-STAT-SOFT,
  volume =       "16",
  number =       "6",
  pages =        "1--17",
  month =        may,
  year =         "2006",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v016.i06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v16/i06",
  abstract =     "A modification of an accept-and-reject algorithm to
                 sample from a set of restricted permutations is
                 proposed. By concentrating on a special class of
                 matrices obtained by restriction of the permutation in
                 time, assuming the objects to be permuted to be events
                 in time, the modified algorithm's running time can be
                 shown to be linear instead of geometric in the number
                 of elements. The implementation of the algorithm in the
                 language R is presented in a Literate Programming
                 style.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-04-11; Accepted 2006-05-16",
  xxtitle =      "An Accept-and-Reject Algorithm to Sample from a Set of
                 Permutations Restricted by a Time Constraint",
}

@Article{Moon:2006:CTT,
  author =       "Hojin Moon and Hongshik Ahn and Ralph L. Kodell",
  title =        "A Computational Tool for Testing Dose-related Trend
                 Using an Age-adjusted Bootstrap-based Poly-$k$ Test",
  journal =      j-J-STAT-SOFT,
  volume =       "16",
  number =       "7",
  pages =        "1--14",
  month =        aug,
  year =         "2006",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v016.i07",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v16/i07",
  abstract =     "A computational tool for testing for a dose-related
                 trend and/or a pairwise difference in the incidence of
                 an occult tumor via an age-adjusted bootstrap-based
                 poly-k test and the original poly-k test is presented
                 in this paper. The poly-k test (Bailer and Portier
                 1988) is a survival-adjusted Cochran-Armitage test,
                 which achieves robustness to effects of differential
                 mortality across dose groups. The original poly-k test
                 is asymptotically standard normal under the null
                 hypothesis. However, the asymptotic normality is not
                 valid if there is a deviation from the tumor onset
                 distribution that is assumed in this test. Our
                 age-adjusted bootstrap-based poly-k test assesses the
                 significance of assumed asymptotic normal tests and
                 investigates an empirical distribution of the original
                 poly-k test statistic using an age-adjusted bootstrap
                 method. A tumor of interest is an occult tumor for
                 which the time to onset is not directly observable.
                 Since most of the animal carcinogenicity studies are
                 designed with a single terminal sacrifice, the present
                 tool is applicable to rodent tumorigenicity assays that
                 have a single terminal sacrifice. The present tool
                 takes input information simply from a user screen and
                 reports testing results back to the screen through a
                 user-interface. The computational tool is implemented
                 in C/C++ and is applied to analyze a real data set as
                 an example. Our tool enables the FDA and the
                 pharmaceutical industry to implement a statistical
                 analysis of tumorigenicity data from animal bioassays
                 via our age-adjusted bootstrap-based poly-k test and
                 the original poly-k test which has been adopted by the
                 National Toxicology Program as its standard statistical
                 test.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2004-11-16; Accepted 2006-08-04",
}

@Article{Monahan:2006:SAC,
  author =       "John F. Monahan",
  title =        "Some Algorithms for the Conditional Mean Vector and
                 Covariance Matrix",
  journal =      j-J-STAT-SOFT,
  volume =       "16",
  number =       "8",
  pages =        "1--9",
  month =        aug,
  year =         "2006",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v016.i08",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v16/i08",
  abstract =     "We consider here the problem of computing the mean
                 vector and covariance matrix for a conditional normal
                 distribution, considering especially a sequence of
                 problems where the conditioning variables are changing.
                 The sweep operator provides one simple general approach
                 that is easy to implement and update. A second, more
                 goal-oriented general method avoids explicit
                 computation of the vector and matrix, while enabling
                 easy evaluation of the conditional density for
                 likelihood computation or easy generation from the
                 conditional distribution. The covariance structure that
                 arises from the special case of an ARMA(p, q) time
                 series can be exploited for substantial improvements in
                 computational efficiency.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-10-01; Accepted 2006-08-24",
  xxtitle =      "Some Algorithms for the Conditional Mean Vector and
                 Covariance Matrix",
}

@Article{Zeileis:2006:OOC,
  author =       "Achim Zeileis",
  title =        "Object-oriented Computation of Sandwich Estimators",
  journal =      j-J-STAT-SOFT,
  volume =       "16",
  number =       "9",
  pages =        "1--16",
  month =        aug,
  year =         "2006",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v016.i09",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v16/i09",
  abstract =     "Sandwich covariance matrix estimators are a popular
                 tool in applied regression modeling for performing
                 inference that is robust to certain types of model
                 misspecification. Suitable implementations are
                 available in the R system for statistical computing for
                 certain model fitting functions only (in particular
                 {\tt lm()}), but not for other standard regression
                 functions, such as {\tt glm()}, {\tt nls()}, or {\tt
                 survreg()}. Therefore, conceptual tools and their
                 translation to computational tools in the package
                 sandwich are discussed, enabling the computation of
                 sandwich estimators in general parametric models.
                 Object orientation can be achieved by providing a few
                 extractor functions' most importantly for the empirical
                 estimating functions' from which various types of
                 sandwich estimators can be computed.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-05-26; Accepted 2006-08-15",
  xxtitle =      "Object-Oriented Computation of Sandwich Estimators",
}

@Article{Schrepp:2006:IPC,
  author =       "Martin Schrepp",
  title =        "{ITA 2.0}: a Program for Classical and Inductive Item
                 Tree Analysis",
  journal =      j-J-STAT-SOFT,
  volume =       "16",
  number =       "10",
  pages =        "1--14",
  month =        sep,
  year =         "2006",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v016.i10",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v16/i10",
  abstract =     "Item Tree Analysis (ITA) is an explorative method of
                 data analysis which can be used to establish a
                 hierarchical structure on a set of dichotomous items
                 from a questionnaire or test. There are currently two
                 different algorithms available to perform an ITA. We
                 describe a computer program called ITA 2.0 which
                 implements both of these algorithms. In addition we
                 show with a concrete data set how the program can be
                 used for the analysis of questionnaire data.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-12-14; Accepted 2006-09-06",
  xxtitle =      "{ITA} 2.0: A Program for Classical and Inductive Item
                 Tree Analysis",
}

@Article{Dinov:2006:SSO,
  author =       "Ivo D. Dinov",
  title =        "{SOCR}: Statistics Online Computational Resource",
  journal =      j-J-STAT-SOFT,
  volume =       "16",
  number =       "11",
  pages =        "1--16",
  month =        oct,
  year =         "2006",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v016.i11",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v16/i11",
  abstract =     "The need for hands-on computer laboratory experience
                 in undergraduate and graduate statistics education has
                 been firmly established in the past decade. As a result
                 a number of attempts have been undertaken to develop
                 novel approaches for problem-driven statistical
                 thinking, data analysis and result interpretation. In
                 this paper we describe an integrated educational
                 web-based framework for: interactive distribution
                 modeling, virtual online probability experimentation,
                 statistical data analysis, visualization and
                 integration. Following years of experience in
                 statistical teaching at all college levels using
                 established licensed statistical software packages,
                 like STATA, S-PLUS, R, SPSS, SAS, Systat, etc., we have
                 attempted to engineer a new statistics education
                 environment, the Statistics Online Computational
                 Resource (SOCR). This resource performs many of the
                 standard types of statistical analysis, much like other
                 classical tools. In addition, it is designed in a
                 plug-in object-oriented architecture and is completely
                 platform independent, web-based, interactive,
                 extensible and secure. Over the past 4 years we have
                 tested, fine-tuned and reanalyzed the SOCR framework in
                 many of our undergraduate and graduate probability and
                 statistics courses and have evidence that SOCR
                 resources build student's intuition and enhance their
                 learning.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-07-01; Accepted 2006-10-01",
  xxtitle =      "{SOCR}: Statistics Online Computational Resource",
}

@Article{Murrell:2006:BRB,
  author =       "Paul Murrell",
  title =        "Book Review: {{\booktitle{Graphics of Large Datasets:
                 Visualizing a Million}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "17",
  number =       "BR-1",
  pages =        "1--3",
  month =        dec,
  year =         "2006",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v017.b01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v17/b01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-12-05; Accepted 2006-12-05",
}

@Article{Gentleman:2006:BRB,
  author =       "Robert Gentleman",
  title =        "Book Review: {{\booktitle{Developing Statistical
                 Software in FORTRAN 95}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "17",
  number =       "BR-2",
  pages =        "1--2",
  month =        dec,
  year =         "2006",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v017.b02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v17/b02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-12-05; Accepted 2006-12-05",
}

@Article{Karlsson:2006:SRS,
  author =       "Andreas Karlsson",
  title =        "Software Review: {{\em Scientific Workplace 5.5 and
                 LyX 1.4.2}}",
  journal =      j-J-STAT-SOFT,
  volume =       "17",
  number =       "SR-1",
  pages =        "1--11",
  month =        oct,
  year =         "2006",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v017.s01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v17/s01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-10-27; Accepted 2006-10-27",
}

@Article{Gromping:2006:RIL,
  author =       "Ulrike Gr{\"o}mping",
  title =        "Relative Importance for Linear Regression in {R}: The
                 Package \pkg{relaimpo}",
  journal =      j-J-STAT-SOFT,
  volume =       "17",
  number =       "1",
  pages =        "1--27",
  month =        sep,
  year =         "2006",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v017.i01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v17/i01",
  abstract =     "Relative importance is a topic that has seen a lot of
                 interest in recent years, particularly in applied work.
                 The R package \pkg{relaimpo} implements six different
                 metrics for assessing relative importance of regressors
                 in the linear model, two of which are recommended -
                 averaging over orderings of regressors and a newly
                 proposed metric (Feldman 2005) called pmvd. Apart from
                 delivering the metrics themselves, \pkg{relaimpo} also
                 provides (exploratory) bootstrap confidence intervals.
                 This paper offers a brief tutorial introduction to the
                 package. The methods and \pkg{relaimpo}'s functionality
                 are illustrated using the data set swiss that is
                 generally available in R. The paper targets readers who
                 have a basic understanding of multiple linear
                 regression. For the background of more advanced
                 aspects, references are provided.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-01-03; Accepted 2006-09-01",
  xxtitle =      "Relative Importance for Linear Regression in R: The
                 Package relaimpo",
}

@Article{Culp:2006:ARP,
  author =       "Mark Culp and Kjell Johnson and George Michailidis",
  title =        "\pkg{ada}: An {R} Package for Stochastic Boosting",
  journal =      j-J-STAT-SOFT,
  volume =       "17",
  number =       "2",
  pages =        "1--27",
  month =        sep,
  year =         "2006",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v017.i02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v17/i02",
  abstract =     "Boosting is an iterative algorithm that combines
                 simple classification rules with ``mediocre''
                 performance in terms of misclassification error rate to
                 produce a highly accurate classification rule.
                 Stochastic gradient boosting provides an enhancement
                 which incorporates a random mechanism at each boosting
                 step showing an improvement in performance and speed in
                 generating the ensemble. \pkg{ada} is an R package that
                 implements three popular variants of boosting, together
                 with a version of stochastic gradient boosting. In
                 addition, useful plots for data analytic purposes are
                 provided along with an extension to the multi-class
                 case. The algorithms are illustrated with synthetic and
                 real data sets.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-07-13; Accepted 2007-07-13",
}

@Article{Meyer:2006:SFV,
  author =       "David Meyer and Achim Zeileis and Kurt Hornik",
  title =        "The {Strucplot} Framework: Visualizing Multi-way
                 Contingency Tables with \pkg{vcd}",
  journal =      j-J-STAT-SOFT,
  volume =       "17",
  number =       "3",
  pages =        "1--48",
  month =        oct,
  year =         "2006",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v017.i03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v17/i03",
  abstract =     "This paper describes the ``strucplot'' framework for
                 the visualization of multi-way contingency tables.
                 Strucplot displays include hierarchical conditional
                 plots such as mosaic, association, and sieve plots, and
                 can be combined into more complex, specialized plots
                 for visualizing conditional independence, GLMs, and the
                 results of independence tests. The framework's modular
                 design allows flexible customization of the plots'
                 graphical appearance, including shading, labeling,
                 spacing, and legend, by means of ``graphical appearance
                 control'' functions. The framework is provided by the R
                 package \pkg{vcd}.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-11-02; Accepted 2006-10-19",
  xxtitle =      "The Strucplot Framework: Visualizing Multi-way
                 Contingency Tables with vcd",
}

@Article{Mineo:2006:URP,
  author =       "Angelo M. Mineo and Alfredo Pontillo",
  title =        "Using {R} via {PHP} for Teaching Purposes: {R-php}",
  journal =      j-J-STAT-SOFT,
  volume =       "17",
  number =       "4",
  pages =        "1--20",
  month =        oct,
  year =         "2006",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v017.i04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v17/i04",
  abstract =     "This paper deals with the R-php statistical software,
                 that is an environment for statistical analysis, freely
                 accessible and attainable through the World Wide Web,
                 based on R. Indeed, this software uses, as ``engine''
                 for statistical analyses, R via PHP and its design has
                 been inspired by a paper of de Leeuw (1997). R-php is
                 based on two modules: a base module and a
                 point-and-click module. R-php base allows the simple
                 editing of R code in a form. R-php point-and-click
                 allows some statistical analyses by means of a
                 graphical user interface (GUI): then, to use this
                 module it is not necessary for the user to know the R
                 environment, but all the allowed analyses can be
                 performed by using the computer mouse. We think that
                 this tool could be particularly useful for teaching
                 purposes: one possible use could be in a University
                 computer laboratory to permit a smooth approach of
                 students to R.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2004-09-04; Accepted 2006-10-20",
  xxtitle =      "Using R via {PHP} for Teaching Purposes: R-php",
}

@Article{Rizopoulos:2006:LRP,
  author =       "Dimitris Rizopoulos",
  title =        "\pkg{ltm}: An {R} Package for Latent Variable Modeling
                 and Item Response Analysis",
  journal =      j-J-STAT-SOFT,
  volume =       "17",
  number =       "5",
  pages =        "1--25",
  month =        nov,
  year =         "2006",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v017.i05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v17/i05",
  abstract =     "The R package \pkg{ltm} has been developed for the
                 analysis of multivariate dichotomous and polytomous
                 data using latent variable models, under the Item
                 Response Theory approach. For dichotomous data the
                 Rasch, the Two-Parameter Logistic, and Birnbaum's
                 Three-Parameter models have been implemented, whereas
                 for polytomous data Semejima's Graded Response model is
                 available. Parameter estimates are obtained under
                 marginal maximum likelihood using the Gauss-Hermite
                 quadrature rule. The capabilities and features of the
                 package are illustrated using two real data examples.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-05-08; Accepted 2006-11-20",
  xxtitle =      "ltm: An R Package for Latent Variable Modeling and
                 Item Response Theory Analyses",
}

@Article{Friendly:2006:DEP,
  author =       "Michael Friendly",
  title =        "Data Ellipses, {HE} Plots and Reduced-Rank Displays
                 for Multivariate Linear Models: {SAS} Software and
                 Examples",
  journal =      j-J-STAT-SOFT,
  volume =       "17",
  number =       "6",
  pages =        "1--43",
  month =        nov,
  year =         "2006",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v017.i06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/sas.bib",
  URL =          "http://www.jstatsoft.org/v17/i06",
  abstract =     "This paper describes graphical methods for
                 multiple-response data within the framework of the
                 multivariate linear model (MLM), aimed at understanding
                 what is being tested in a multivariate test, and how
                 factor/predictor effects are expressed across multiple
                 response measures. In particular, we describe and
                 illustrate a collection of SAS macro programs for: (a)
                 Data ellipses and low-rank biplots for multivariate
                 data, (b) HE plots, showing the hypothesis and error
                 covariance matrices for a given pair of responses, and
                 a given effect, (c) HE plot matrices, showing all
                 pairwise HE plots, and (d) low-rank analogs of HE
                 plots, showing all observations, group means, and their
                 relations to the response variables.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-10-11; Accepted 2006-11-10",
  xxtitle =      "Data Ellipses, {HE} Plots and Reduced-Rank Displays
                 for Multivariate Linear Models: {SAS} Software and
                 Examples",
}

@Article{Caffo:2006:EHT,
  author =       "Brian Caffo",
  title =        "Exact Hypothesis Tests for Log-linear Models with
                 {exactLoglinTest}",
  journal =      j-J-STAT-SOFT,
  volume =       "17",
  number =       "7",
  pages =        "1--17",
  month =        nov,
  year =         "2006",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v017.i07",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v17/i07",
  abstract =     "This manuscript overviews exact testing of goodness of
                 fit for log-linear models using the R package
                 exactLoglinTest. This package evaluates model fit for
                 Poisson log-linear models by conditioning on minimal
                 sufficient statistics to remove nuisance parameters. A
                 Monte Carlo algorithm is proposed to estimate P values
                 from the resulting conditional distribution. In
                 particular, this package implements a sequentially
                 rounded normal approximation and importance sampling to
                 approximate probabilities from the conditional
                 distribution. Usually, this results in a high
                 percentage of valid samples. However, in instances
                 where this is not the case, a Metropolis Hastings
                 algorithm can be implemented that makes more localized
                 jumps within the reference set. The manuscript details
                 how some conditional tests for binomial logit models
                 can also be viewed as conditional Poisson log-linear
                 models and hence can be performed via exactLoglinTest.
                 A diverse battery of examples is considered to
                 highlight use, features and extensions of the software.
                 Notably, potential extensions to evaluating disclosure
                 risk are also considered.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-02-07; Accepted 2006-11-10",
  xxtitle =      "Exact Hypothesis Tests for Log-linear Models with
                 {exactLoglinTest}",
}

@Article{Xiao:2007:CPC,
  author =       "Yuanhui Xiao and Alexander Gordon and Andrei
                 Yakovlev",
  title =        "A {C++} Program for the {Cram{\'e}r--Von Mises}
                 Two-Sample Test",
  journal =      j-J-STAT-SOFT,
  volume =       "17",
  number =       "8",
  pages =        "1--15",
  month =        dec,
  year =         "2006",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v017.i08",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v17/i08",
  abstract =     "As larger sets of high-throughput data in genomics and
                 proteomics become more readily available, there is a
                 growing need for fast algorithms designed to compute
                 exact p values of distribution-free statistical tests.
                 We present a program for computing the exact
                 distribution of the two-sample Cram{\'e}r-von Mises
                 test statistic under the null hypothesis that the two
                 samples are drawn from the same continuous
                 distribution. The program makes it possible to handle
                 substantially larger sample sizes than earlier proposed
                 computational tools. The C++ source code for the
                 program is published with this paper, and an R package
                 is under development.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-03-17; Accepted 2006-12-18",
  xxtitle =      "A C$\mathplus\mathplus$ Program for the Cram{\'e}r-von
                 Mises Two-Sample Test",
  xxyear =       "2007",
}

@Article{Cox:2007:BRB,
  author =       "Nicholas Cox",
  title =        "Book Review: {{\booktitle{The Grammar of Graphics}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "17",
  number =       "BR-3",
  pages =        "1--7",
  month =        jan,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v017.b03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v17/b03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-01-15; Accepted 2007-01-15",
}

@Article{Sanchez:2007:BRB,
  author =       "Juana Sanchez",
  title =        "Book Review: {{\booktitle{``Linear Models with R''}}
                 and {\em ``Extending the Linear Model with R''}}",
  journal =      j-J-STAT-SOFT,
  volume =       "17",
  number =       "BR-4",
  pages =        "1--3",
  month =        jan,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v017.b04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v17/b04",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-01-16; Accepted 2007-01-16",
}

@Article{Maindonald:2007:BRB,
  author =       "John Maindonald",
  title =        "Book Review: {{\booktitle{Pattern Recognition and
                 Machine Learning}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "17",
  number =       "BR-5",
  pages =        "1--3",
  month =        jan,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v017.b05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v17/b05",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-01-31; Accepted 2007-01-31",
}

@Article{Sardy:2007:BRB,
  author =       "Sylvain Sardy and Valerie Chavez-Demoulin",
  title =        "Book Review: {{\booktitle{Modeling Financial Time
                 Series with S-PLUS}} (2nd Edition)}",
  journal =      j-J-STAT-SOFT,
  volume =       "17",
  number =       "BR-6",
  pages =        "1--2",
  month =        feb,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v017.b06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v17/b06",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-02-09; Accepted 2007-02-09",
}

@Article{Hankin:2007:CSU,
  author =       "Robin K. S. Hankin",
  title =        "Code Snippet: Urn Sampling Without Replacement:
                 Enumerative Combinatorics in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "17",
  number =       "CS-1",
  pages =        "1--6",
  month =        jan,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v017.c01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v17/c01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-08-22; Accepted 2007-01-03",
}

@Article{Bowman:2007:RSI,
  author =       "Adrian Bowman and Ewan Crawford and Gavin Alexander
                 and Richard W. Bowman",
  title =        "\pkg{rpanel}: Simple Interactive Controls for {R}
                 Functions Using the \pkg{tcltk} Package",
  journal =      j-J-STAT-SOFT,
  volume =       "17",
  number =       "9",
  pages =        "1--18",
  month =        jan,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v017.i09",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v17/i09",
  abstract =     "In a variety of settings it is extremely helpful to be
                 able to apply R functions through buttons, sliders and
                 other types of graphical control. This is particularly
                 true in plotting activities where immediate
                 communication between such controls and a graphical
                 display allows the user to interact with a plot in a
                 very effective manner. The \pkg{tcltk} package provides
                 extensive tools for this and the aim of the
                 \pkg{rpanel} package is to provide simple and well
                 documented functions which make these facilities as
                 accessible as possible. In addition, the operations
                 which form the basis of communication within
                 \pkg{tcltk} are managed in a way which allows users to
                 write functions with a more standard form of parameter
                 passing. This paper describes the basic design of the
                 software and illustrates it on a variety of examples of
                 interactive control of graphics. The \pkg{tkrplot}
                 system is used to allow plots to be integrated with
                 controls into a single panel. An example of the use of
                 a graphical image, and the ability to interact with
                 this, is also discussed.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-08-29; Accepted 2007-01-01",
  xxtitle =      "rpanel: Simple Interactive Controls for R Functions
                 Using the tcltk Package",
}

@Article{Perez:2007:RJI,
  author =       "Carlos Javier P{\'e}rez and Hansgeorg Schwibbe and
                 Petra Weidner",
  title =        "{RAGE}: a {Java}-implemented Visual Random Generator",
  journal =      j-J-STAT-SOFT,
  volume =       "17",
  number =       "10",
  pages =        "1--10",
  month =        jan,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v017.i10",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v17/i10",
  abstract =     "Carefully designed Java applications turn out to be
                 efficient and platform independent tools that can
                 compete well with classical implementations of
                 statistical software. The project presented here is an
                 example underlining this statement for random variate
                 generation. An end-user application called RAGE (Random
                 Variate Generator) is developed to generate random
                 variates from probability distributions. A Java class
                 library called JDiscreteLib has been designed and
                 implemented for the simulation of random variables from
                 the most usual discrete distributions inside RAGE. For
                 each distribution, specific and general algorithms are
                 available for this purpose. RAGE can also be used as an
                 interactive simulation tool for data and data summary
                 visualization.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-03-30; Accepted 2007-01-31",
  xxtitle =      "{RAGE}: A Java -implemented Visual Random Generator",
}

@Article{Mullen:2007:ISV,
  author =       "Katharine M. Mullen and Ivo H. M. van Stokkum",
  title =        "An Introduction to the {{\em ``Special Volume
                 Spectroscopy and Chemometrics in R''}}",
  journal =      j-J-STAT-SOFT,
  volume =       "18",
  number =       "1",
  pages =        "1--5",
  month =        jan,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v018.i01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v18/i01",
  abstract =     "This special volume collates ten issues under the
                 rubric ``Spectroscopy and Chemometrics in R''. In so
                 doing, it provides an overview of the breadth, depth
                 and state of the art of R-based software projects for
                 spectroscopy and chemometrics applications. Just as the
                 authors have contributed to R their documentation and
                 source code, so has R contributed to the quality,
                 standardization and dissemination of their software, as
                 this volume attests. We hope that the volume is
                 inspiring to both computational statisticians
                 interested in applications of their methodologies and
                 to spectroscopists or chemometricians in need of
                 solutions to their data analysis problems.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-01-16; Accepted 2007-01-16",
  xxtitle =      "An Introduction to the Special Volume ``Spectroscopy
                 and Chemometrics in R''",
}

@Article{Mevik:2007:PPP,
  author =       "Bj{\"o}rn-Helge Mevik and Ron Wehrens",
  title =        "The \pkg{pls} Package: Principal Component and Partial
                 Least Squares Regression in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "18",
  number =       "2",
  pages =        "1--24",
  month =        jan,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v018.i02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v18/i02",
  abstract =     "The \pkg{pls} package implements principal component
                 regression (PCR) and partial least squares regression
                 (PLSR) in R (R Development Core Team 2006b), and is
                 freely available from the Comprehensive R Archive
                 Network (CRAN), licensed under the GNU General Public
                 License (GPL). The user interface is modeled after the
                 traditional formula interface, as exemplified by lm.
                 This was done so that people used to R would not have
                 to learn yet another interface, and also because we
                 believe the formula interface is a good way of working
                 interactively with models. It thus has methods for
                 generic functions like predict, update and coef. It
                 also has more specialised functions like scores,
                 loadings and RMSEP, and a flexible cross-validation
                 system. Visual inspection and assessment is important
                 in chemometrics, and the \pkg{pls} package has a number
                 of plot functions for plotting scores, loadings,
                 predictions, coefficients and RMSEP estimates. The
                 package implements PCR and several algorithms for PLSR.
                 The design is modular, so that it should be easy to use
                 the underlying algorithms in other functions. It is our
                 hope that the package will serve well both for
                 interactive data analysis and as a building block for
                 other functions or packages using PLSR or PCR. We will
                 here describe the package and how it is used for data
                 analysis, as well as how it can be used as a part of
                 other packages. Also included is a section about
                 formulas and data frames, for people not used to the R
                 modelling idioms.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-10-04; Accepted 2007-01-10",
  xxtitle =      "The pls Package: Principal Component and Partial Least
                 Squares Regression in R",
}

@Article{Mullen:2007:TRP,
  author =       "Katharine M. Mullen and Ivo H. M. van Stokkum",
  title =        "{TIMP}: An {R} Package for Modeling Multi-way
                 Spectroscopic Measurements",
  journal =      j-J-STAT-SOFT,
  volume =       "18",
  number =       "3",
  pages =        "1--46",
  month =        jan,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v018.i03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v18/i03",
  abstract =     "TIMP is an R package for modeling multiway
                 spectroscopic measurements. The package allows for the
                 simultaneous analysis of datasets collected under
                 different experimental conditions in terms of a wide
                 variety of parametric models. Models arising in
                 spectroscopy data analysis often have some parameters
                 that are intrinstically nonlinear, and some parameters
                 that are conditionally linear on estimates of the
                 nonlinear parameters. TIMP fits such separable
                 nonlinear models using partitioned variable projection,
                 a variant of the variable projection algorithm that is
                 described here for the first time. The of the
                 partitioned variable projection algorithm allows
                 fitting many models for spectroscopy datasets using
                 much less memory as compared to under the standard
                 variable projection algorithm that is implemented in
                 nonlinear optimization routines (e.g., the plinear
                 option of the R function nls), as is shown here. An
                 overview of modeling with TIMP is also given that
                 includes several case studies in the application of the
                 package.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-10-01; Accepted 2007-01-10",
  xxtitle =      "{TIMP}: An R Package for Modeling Multi-Way
                 Spectroscopic Measurements",
}

@Article{Kirchner:2007:ARP,
  author =       "Marc Kirchner and Benjamin Saussen and Hanno Steen and
                 Judith A. J. Steen and Fred A. Hamprecht",
  title =        "\pkg{amsrpm}: Robust Point Matching for Retention Time
                 Alignment of {LC\slash MS} Data with {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "18",
  number =       "4",
  pages =        "1--12",
  month =        jan,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v018.i04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v18/i04",
  abstract =     "Proteomics is the study of the abundance, function and
                 dynamics of all proteins present in a living organism,
                 and mass spectrometry (MS) has become its most
                 important tool due to its unmatched sensitivity,
                 resolution and potential for high-throughput
                 experimentation. A frequently used variant of mass
                 spectrometry is coupled with liquid chromatography (LC)
                 and is denoted as ``LC/MS''. It produces
                 two-dimensional raw data, where significant distortions
                 along one of the dimensions can occur between different
                 runs on the same instrument, and between instruments. A
                 compensation of these distortions is required to allow
                 for comparisons between and inference based on
                 different experiments. This article introduces the
                 \pkg{amsrpm} software package. It implements a variant
                 of the Robust Point Matching (RPM) algorithm that is
                 tailored for the alignment of LC and LC/MS experiments.
                 Problem-specific enhancements include a specialized
                 dissimilarity measure, and means to enforce smoothness
                 and monotonicity of the estimated transformation
                 function. The algorithm does not rely on pre-specified
                 landmarks, it is insensitive towards outliers and
                 capable of modeling nonlinear distortions. Its
                 usefulness is demonstrated using both simulated and
                 experimental data. The software is available as an open
                 source package for the statistical programming language
                 R.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-09-30; Accepted 2007-07-19",
  xxtitle =      "amsrpm: Robust Point Matching for Retention Time
                 Alignment of {LC}/{MS} Data with R",
}

@Article{Guha:2007:CIF,
  author =       "Rajarshi Guha",
  title =        "Chemical Informatics Functionality in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "18",
  number =       "5",
  pages =        "1--16",
  month =        jan,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v018.i05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v18/i05",
  abstract =     "The flexibility and scope of the R programming
                 environment has made it a popular choice for
                 statistical modeling and scientific prototyping in a
                 number of fields. In the field of chemistry, R provides
                 several tools for a variety of problems related to
                 statistical modeling of chemical information. However,
                 one aspect common to these tools is that they do not
                 have direct access to the information that is available
                 from chemical structures, such as contained in
                 molecular descriptors.\par

                 We describe the rcdk package that provides the R user
                 with access to the CDK, a Java framework for
                 cheminformatics. As a result, it is possible to read in
                 a variety of molecular formats, calculate molecular
                 descriptors and evaluate fingerprints. In addition, we
                 describe the rpubchem that will allow access to the
                 data in PubChem, a public repository of molecular
                 structures and associated assay data for approximately
                 8 million compounds. Currently, the package allows
                 access to structural information as well as some simple
                 molecular properties from PubChem. In addition the
                 package allows access to bio-assay data from the
                 PubChem FTP servers.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-09-25; Accepted 2007-01-01",
  xxtitle =      "Chemical Informatics Functionality in R",
}

@Article{Fraley:2007:MBM,
  author =       "Chris Fraley and Adrian Raftery",
  title =        "Model-based Methods of Classification: Using the
                 mclust Software in Chemometrics",
  journal =      j-J-STAT-SOFT,
  volume =       "18",
  number =       "6",
  pages =        "1--13",
  month =        jan,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v018.i06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v18/i06",
  abstract =     "Due to recent advances in methods and software for
                 model-based clustering, and to the interpretability of
                 the results, clustering procedures based on probability
                 models are increasingly preferred over heuristic
                 methods. The clustering process estimates a model for
                 the data that allows for overlapping clusters,
                 producing a probabilistic clustering that quantifies
                 the uncertainty of observations belonging to components
                 of the mixture. The resulting clustering model can also
                 be used for some other important problems in
                 multivariate analysis, including density estimation and
                 discriminant analysis. Examples of the use of
                 model-based clustering and classification techniques in
                 chemometric studies include multivariate image
                 analysis, magnetic resonance imaging, microarray image
                 segmentation, statistical process control, and food
                 authenticity. We review model-based clustering and
                 related methods for density estimation and discriminant
                 analysis, and show how the R package mclust can be
                 applied in each instance.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-09-27; Accepted 2007-01-10",
  xxtitle =      "Model-based Methods of Classification: Using the
                 mclust Software in Chemometrics",
}

@Article{Binsl:2007:FRP,
  author =       "Thomas W. Binsl and Katharine M. Mullen and Ivo H. M.
                 van Stokkum and Jaap Heringa and Johannes H. G. M. van
                 Beek",
  title =        "{FluxSimulator}: An {R} Package to Simulate Isotopomer
                 Distributions in Metabolic Networks",
  journal =      j-J-STAT-SOFT,
  volume =       "18",
  number =       "7",
  pages =        "1--17",
  month =        jan,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v018.i07",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v18/i07",
  abstract =     "The representation of biochemical knowledge in terms
                 of fluxes (transformation rates) in a metabolic network
                 is often a crucial step in the development of new drugs
                 and efficient bioreactors. Mass spectroscopy (MS) and
                 nuclear magnetic resonance spectroscopy (NMRS) in
                 combination with ${}^{13}$C labeled substrates are
                 experimental techniques resulting in data that may be
                 used to quantify fluxes in the metabolic network
                 underlying a process. The massive amount of data
                 generated by spectroscopic experiments increasingly
                 requires software which models the dynamics of the
                 underlying biological system. In this work we present
                 an approach to handle isotopomer distributions in
                 metabolic networks using an object-oriented programming
                 approach, implemented using S4 classes in R. The
                 developed package is called FluxSimulator and provides
                 a user friendly interface to specify the topological
                 information of the metabolic network as well as carbon
                 atom transitions in plain text files. The package
                 automatically derives the mathematical representation
                 of the formulated network, and assembles a set of
                 ordinary differential equations (ODEs) describing the
                 change of each isotopomer pool over time. These ODEs
                 are subsequently solved numerically. In a case study
                 FluxSimulator was applied to an example network. Our
                 results indicate that the package is able to reproduce
                 exact changes in isotopomer compositions of the
                 metabolite pools over time at given flux rates.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-09-28; Accepted 2007-01-10",
  xxtitle =      "{FluxSimulator}: An R Package to Simulate Isotopomer
                 Distributions in Metabolic Networks",
}

@Article{Mullen:2007:FLI,
  author =       "Sergey Laptenok and Katharine M. Mullen and Jan Willem
                 Borst and Ivo H. M. van Stokkum and Vladimir V.
                 Apanasovich and Antonie J. W. G. Visser",
  title =        "Fluorescence Lifetime Imaging Microscopy ({FLIM}) Data
                 Analysis with {TIMP}",
  journal =      j-J-STAT-SOFT,
  volume =       "18",
  number =       "8",
  pages =        "1--20",
  month =        jan,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v018.i08",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v18/i08",
  abstract =     "Fluorescence Lifetime Imaging Microscopy (FLIM) allows
                 fluorescence lifetime images of biological objects to
                 be collected at 250 nm spatial resolution and at
                 (sub-)nanosecond temporal resolution. Often $ n_{\rm
                 comp} $ kinetic processes underlie the observed
                 fluorescence at all locations, but the intensity of the
                 fluorescence associated with each process varies
                 per-location, i.e., per-pixel imaged. Then the
                 statistical challenge is global analysis of the image:
                 use of the fluorescence decay in time at all locations
                 to estimate the $ n_{\rm comp} $ lifetimes associated
                 with the kinetic processes, as well as the amplitude of
                 each kinetic process at each location. Given that
                 typical FLIM images represent on the order of $ 10^2 $
                 timepoints and $ 10^3 $ locations, meeting this
                 challenge is computationally intensive. Here the
                 utility of the TIMP package for R to solve parameter
                 estimation problems arising in FLIM image analysis is
                 demonstrated. Case studies on simulated and real data
                 evidence the applicability of the partitioned variable
                 projection algorithm implemented in TIMP to the problem
                 domain, and showcase options included in the package
                 for the visual validation of models for FLIM data.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-12-11; Accepted 2007-01-10",
  xxtitle =      "Fluorescence Lifetime Imaging Microscopy ({FLIM}) Data
                 Analysis with {TIMP}",
}

@Article{Ritter:2007:ICD,
  author =       "Christian Ritter and Jean Gilliard",
  title =        "{ImpuR}: a Collection of Diagnostic Tools Developed in
                 {R} in the Context of Peak Impurity Detection in
                 {HPLC-DAD} but Potentially Useful with Other Types of
                 Time-Intensity Matrices",
  journal =      j-J-STAT-SOFT,
  volume =       "18",
  number =       "9",
  pages =        "1--18",
  month =        jan,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v018.i09",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v18/i09",
  abstract =     "HPLC-DAD systems generate time intensity (absorbance)
                 matrices called spectrochromatograms. Under good
                 experimental conditions, spectro-chromatograms of
                 elution peaks of pure analytes are bilinear products of
                 a time peak and an absorbance spectrum. Co-eluting
                 impurities create deviations from this pure bilinear
                 structure. Unfortunately, other imperfections, such as
                 scan averaging, large optical windows, imperfect lamp
                 alignment, mobile phase fluctuations, etc. also create
                 departures from the pure bilinear structure. This makes
                 it hard to distinguish low concentration impurities
                 from artifacts and hampers safe detection of
                 contaminants. There are two main ways to deal with such
                 artifacts: removal and simulation, and ImpuR provides R
                 functions to do both and to integrate both approaches.
                 More specifically, ImpuR provides a set of tools to
                 explore time-intensity matrices with respect to their
                 bilinear structure and departures from it. It includes
                 exploratory graphs for bilinear matrices (bilinear
                 residual graphs and singular value decompositions),
                 spectral dissimilarity curves via window-evolving
                 factor analysis with heteroscedasticity correction and
                 the sine method, methods for removal of artifacts, and
                 a comprehensive simulation tool to assess the impact of
                 potential artifacts and to allow for the construction
                 of guide curves for use with the sine method.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-10-24; Accepted 2007-01-11",
  xxtitle =      "{ImpuR}: A Collection of Diagnostic Tools Developed in
                 R in the Context of Peak Impurity Detection in
                 {HPLC}-{DAD} but Potentially Useful with Other Types of
                 Time-Intensity Matrices",
}

@Article{Krastev:2007:SSS,
  author =       "Teodor Krastev",
  title =        "\pkg{spectrino} Software: Spectra Visualization and
                 Preparation for {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "18",
  number =       "10",
  pages =        "1--16",
  month =        jan,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v018.i10",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v18/i10",
  abstract =     "\pkg{spectrino} is a spectra preparation software
                 utility for the R language and environment for
                 statistical computing. It is an operating-system
                 specific tool, for use under Microsoft Windows, with
                 specialized visualization, organization and
                 preprocessing features for spectra. The software
                 accepts spectral data from analytical instruments and
                 then prepares a data structure to be introduced in R.
                 \pkg{spectrino} has a rich set of features to create
                 data structures and visually manipulate/compare
                 spectra. The application is accessible by a library of
                 functions from within R. These commands allow for the
                 creation and manipulation of data structures in
                 \pkg{spectrino} and the selective extraction of
                 spectral data. Before exporting, the spectra are
                 preprocessed according the requirements of consecutive
                 discriminant analysis. This preprocessing is adjustable
                 by a series of options.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-10-01; Accepted 2007-01-10",
}

@Article{Babu:2007:URB,
  author =       "G. Jogesh Babu and Ashish Mahabal",
  title =        "Using {R}-based {VOStat} as a Low-Resolution Spectrum
                 Analysis Tool",
  journal =      j-J-STAT-SOFT,
  volume =       "18",
  number =       "11",
  pages =        "1--12",
  month =        jan,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v018.i11",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v18/i11",
  abstract =     "We describe here an online software suite VOStat
                 written mainly for the Virtual Observatory, a novel
                 structure in which astronomers share terabyte scale
                 data. Written mostly in the public-domain statistical
                 computing language and environment R, it can do a
                 variety of statistical analysis on multidimensional,
                 multi-epoch data with errors. Included are techniques
                 which allow astronomers to start with multi-color data
                 in the form of low-resolution spectra and select
                 special kinds of sources in a variety of ways including
                 color outliers. Here we describe the tool and
                 demonstrate it with an example from Palomar-QUEST, a
                 synoptic sky survey.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-10-16; Accepted 2007-01-10",
  xxtitle =      "Using R -based {VOStat} as a Low-Resolution Spectrum
                 Analysis Tool",
}

@Article{deLeeuw:2007:BRB,
  author =       "Jan de Leeuw",
  title =        "Book Review: {{\booktitle{Computational
                 Statistics}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "19",
  number =       "BR-1",
  pages =        "1--3",
  month =        mar,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v019.b01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v19/b01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-03-23; Accepted 2007-03-23",
}

@Article{Tanimura:2007:CSA,
  author =       "Susumu Tanimura and Chusi Kuroiwa and Tsutomu Mizota",
  title =        "Code Snippet: Auxiliary Cartographic Functions in {R}:
                 North Arrow, Scale Bar, and Label with Leader Arrow",
  journal =      j-J-STAT-SOFT,
  volume =       "19",
  number =       "CS-1",
  pages =        "1--8",
  month =        apr,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v019.c01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v19/c01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-12-27; Accepted 2007-04-10",
}

@Article{Polzehl:2007:ASD,
  author =       "J{\"o}rg Polzehl and Karsten Tabelow",
  title =        "Adaptive Smoothing of Digital Images: The {R} Package
                 \pkg{adimpro}",
  journal =      j-J-STAT-SOFT,
  volume =       "19",
  number =       "1",
  pages =        "1--17",
  month =        mar,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v019.i01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v19/i01",
  abstract =     "Digital imaging has become omnipresent in the past
                 years with a bulk of applications ranging from medical
                 imaging to photography. When pushing the limits of
                 resolution and sensitivity noise has ever been a major
                 issue. However, commonly used non-adaptive filters can
                 do noise reduction at the cost of a reduced effective
                 spatial resolution only. Here we present a new package
                 \pkg{adimpro} for R, which implements the
                 propagation-separation approach by (Polzehl and
                 Spokoiny 2006) for smoothing digital images. This
                 method naturally adapts to different structures of
                 different size in the image and thus avoids
                 oversmoothing edges and fine structures. We extend the
                 method for imaging data with spatial correlation.
                 Furthermore we show how the estimation of the
                 dependence between variance and mean value can be
                 included. We illustrate the use of the package through
                 some examples.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-10-27; Accepted 2007-03-27",
  xxtitle =      "Adaptive Smoothing of Digital Images: The R Package
                 adimpro",
}

@Article{Paciorek:2007:BSG,
  author =       "Christopher J. Paciorek",
  title =        "{Bayesian} Smoothing with {Gaussian} Processes Using
                 {Fourier} Basis Functions in the \pkg{spectralGP}
                 Package",
  journal =      j-J-STAT-SOFT,
  volume =       "19",
  number =       "2",
  pages =        "1--38",
  month =        apr,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v019.i02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v19/i02",
  abstract =     "The spectral representation of stationary Gaussian
                 processes via the Fourier basis provides a
                 computationally efficient specification of spatial
                 surfaces and nonparametric regression functions for use
                 in various statistical models. I describe the
                 representation in detail and introduce the
                 \pkg{spectralGP} package in R for computations. Because
                 of the large number of basis coefficients, some form of
                 shrinkage is necessary; I focus on a natural Bayesian
                 approach via a particular parameterized prior structure
                 that approximates stationary Gaussian processes on a
                 regular grid. I review several models from the
                 literature for data that do not lie on a grid, suggest
                 a simple model modification, and provide example code
                 demonstrating MCMC sampling using the \pkg{spectralGP}
                 package. I describe reasons that mixing can be slow in
                 certain situations and provide some suggestions for
                 MCMC techniques to improve mixing, also with example
                 code, and some general recommendations grounded in
                 experience.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-08-09; Accepted 2007-04-10",
  xxtitle =      "Bayesian Smoothing with Gaussian Processes Using
                 Fourier Basis Functions in the {spectralGP} Package",
}

@Article{Headrick:2007:NCG,
  author =       "Todd C. Headrick and Yanyan Sheng and Flaviu-Adrian
                 Hodis",
  title =        "Numerical Computing and Graphics for the Power Method
                 Transformation Using {Mathematica}",
  journal =      j-J-STAT-SOFT,
  volume =       "19",
  number =       "3",
  pages =        "1--17",
  month =        apr,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v019.i03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/mathematica.bib",
  URL =          "http://www.jstatsoft.org/v19/i03",
  abstract =     "This paper provides the requisite information and
                 description of software that perform numerical
                 computations and graphics for the power method
                 polynomial transformation. The software developed is
                 written in the Mathematica 5.2 package PowerMethod.m
                 and is associated with fifth-order polynomials that are
                 used for simulating univariate and multivariate
                 non-normal distributions. The package is flexible
                 enough to allow a user the choice to model theoretical
                 pdfs, empirical data, or a user's own selected
                 distribution(s). The primary functions perform the
                 following (a) compute standardized cumulants and
                 polynomial coefficients, (b) ensure that polynomial
                 transformations yield valid pdfs, and (c) graph power
                 method pdfs and cdfs. Other functions compute
                 cumulative probabilities, modes, trimmed means,
                 intermediate correlations, or perform the graphics
                 associated with fitting power method pdfs to either
                 empirical or theoretical distributions. Numerical
                 examples and Monte Carlo results are provided to
                 demonstrate and validate the use of the software
                 package. The notebook Demo.nb is also provided as a
                 guide for user of the power method.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-04-10; Accepted 2007-04-21",
  xxtitle =      "Numerical Computing and Graphics for the Power Method
                 Transformation Using Mathematica",
}

@Article{Finley:2007:SRP,
  author =       "Andrew O. Finley and Sudipto Banerjee and Bradley P.
                 Carlin",
  title =        "\pkg{spBayes}: An {R} Package for Univariate and
                 Multivariate Hierarchical Point-referenced Spatial
                 Models",
  journal =      j-J-STAT-SOFT,
  volume =       "19",
  number =       "4",
  pages =        "1--24",
  month =        apr,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v019.i04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v19/i04",
  abstract =     "Scientists and investigators in such diverse fields as
                 geological and environmental sciences, ecology,
                 forestry, disease mapping, and economics often
                 encounter spatially referenced data collected over a
                 fixed set of locations with coordinates
                 (latitude-longitude, Easting-Northing etc.) in a region
                 of study. Such point-referenced or geostatistical data
                 are often best analyzed with Bayesian hierarchical
                 models. Unfortunately, fitting such models involves
                 computationally intensive Markov chain Monte Carlo
                 (MCMC) methods whose efficiency depends upon the
                 specific problem at hand. This requires extensive
                 coding on the part of the user and the situation is not
                 helped by the lack of available software for such
                 algorithms. Here, we introduce a statistical software
                 package, \pkg{spBayes}, built upon the R statistical
                 computing platform that implements a generalized
                 template encompassing a wide variety of Gaussian
                 spatial process models for univariate as well as
                 multivariate point-referenced data. We discuss the
                 algorithms behind our package and illustrate its use
                 with a synthetic and real data example.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-10-29; Accepted 2007-04-24",
  xxtitle =      "{spBayes}: An R Package for Univariate and
                 Multivariate Hierarchical Point-referenced Spatial
                 Models",
}

@Article{Baillargeon:2007:PRL,
  author =       "Sophie Baillargeon and Louis-Paul Rivest",
  title =        "\pkg{Rcapture}: Loglinear Models for Capture-Recapture
                 in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "19",
  number =       "5",
  pages =        "1--31",
  month =        apr,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v019.i05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v19/i05",
  abstract =     "This article introduces \pkg{Rcapture}, an R package
                 for capture-recapture experiments. The data for
                 analysis consists of the frequencies of the observable
                 capture histories over the t capture occasions of the
                 experiment. A capture history is a vector of zeros and
                 ones where one stands for a capture and zero for a
                 miss. \pkg{Rcapture} can fit three types of models.
                 With a closed population model, the goal of the
                 analysis is to estimate the size N of the population
                 which is assumed to be constant throughout the
                 experiment. The estimator depends on the way in which
                 the capture probabilities of the animals vary.
                 \pkg{Rcapture} features several models for these
                 capture probabilities that lead to different estimators
                 for N. In an open population model, immigration and
                 death occur between sampling periods. The estimation of
                 survival rates is of primary interest. \pkg{Rcapture}
                 can fit the basic Cormack-Jolly-Seber and Jolly-Seber
                 model to such data. The third type of models fitted by
                 \pkg{Rcapture} are robust design models. It features
                 two levels of sampling; closed population models apply
                 within primary periods and an open population model
                 applies between periods. Most models in \pkg{Rcapture}
                 have a loglinear form; they are fitted by carrying out
                 a Poisson regression with the R function \pkg{glm}.
                 Estimates of the demographic parameters of interest are
                 derived from the loglinear parameter estimates; their
                 variances are obtained by linearization. The novel
                 feature of this package is the provision of several new
                 options for modeling capture probabilities
                 heterogeneity between animals in both closed population
                 models and the primary periods of a robust design. It
                 also implements many of the techniques developed by R.
                 M. Cormack for open population models.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-07-12; Accepted 2007-04-03",
  xxtitle =      "The Rcapture Package: Loglinear Models for
                 Capture-Recapture in R",
}

@Article{Brown:2007:RAM,
  author =       "J. Randall Brown and Milton E. Harvey",
  title =        "Rational Arithmetic {Mathematica} Functions to
                 Evaluate the One-sided One-sample {K-S} Cumulative
                 Sample Distribution",
  journal =      j-J-STAT-SOFT,
  volume =       "19",
  number =       "6",
  pages =        "1--32",
  month =        mar,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v019.i06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/mathematica.bib",
  URL =          "http://www.jstatsoft.org/v19/i06",
  abstract =     "One of the most widely used goodness-of-fit tests is
                 the Kolmogorov--Smirnov (KS) family of tests which have
                 been implemented by many computer statistical software
                 packages. To calculate a p value (evaluate the
                 cumulative sampling distribution), these packages use
                 various methods including recursion formulae, limiting
                 distributions, and approximations of unknown accuracy
                 developed over thirty years ago. Based on an extensive
                 literature search for the one-sided one-sample K-S
                 test, this paper identifies two direct formulae and
                 five recursion formulae that can be used to calculate a
                 p value and then develops two additional direct
                 formulae and four iterative versions of the direct
                 formulae for a total of thirteen formulae. To ensure
                 accurate calculation by avoiding catastrophic
                 cancellation and eliminating rounding error, each
                 formula is implemented in rational arithmetic. Linear
                 search is used to calculate the inverse of the
                 cumulative sampling distribution (find the confidence
                 interval bandwidth). Extensive tables of bandwidths are
                 presented for sample sizes up to 2, 000. The results
                 confirm the hypothesis that as the number of digits in
                 the numerator and denominator integers of the rational
                 number test statistic increases, the computation time
                 also increases. In comparing the computational times of
                 the thirteen formulae, the direct formulae are slightly
                 faster than their iterative versions and much faster
                 than all the recursion formulae. Computational times
                 for the fastest formula are given for sample sizes up
                 to fifty thousand.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-06-08; Accepted 2007-03-17",
  xxtitle =      "Rational Arithmetic Mathematica Functions to Evaluate
                 the One-sided One-sample K-S Cumulative Sampling
                 Distribution",
}

@Article{Carrigan:2007:CMD,
  author =       "Gretchen Carrigan and Adrian G. Barnett and Annette J.
                 Dobson and Gita Mishra",
  title =        "Compensating for Missing Data from Longitudinal
                 Studies Using {WinBUGS}",
  journal =      j-J-STAT-SOFT,
  volume =       "19",
  number =       "7",
  pages =        "1--17",
  month =        jun,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v019.i07",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v19/i07",
  abstract =     "Missing data is a common problem in survey based
                 research. There are many packages that compensate for
                 missing data but few can easily compensate for missing
                 longitudinal data. WinBUGS compensates for missing data
                 using multiple imputation, and is able to incorporate
                 longitudinal structure using random effects. We
                 demonstrate the superiority of longitudinal imputation
                 over cross-sectional imputation using WinBUGS. We use
                 example data from the Australian Longitudinal Study on
                 Women's Health. We give a SAS macro that uses WinBUGS
                 to analyze longitudinal models with missing covariate
                 date, and demonstrate its use in a longitudinal study
                 of terminal cancer patients and their carers.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-11-30; Accepted 2007-06-07",
  xxtitle =      "Compensating for Missing Data from Longitudinal
                 Studies Using {WinBUGS}",
}

@Article{Lenth:2007:SLP,
  author =       "Russell V. Lenth and S{\o}ren H{\o}jsgaard",
  title =        "{SASweave}: Literate Programming Using {SAS}",
  journal =      j-J-STAT-SOFT,
  volume =       "19",
  number =       "8",
  pages =        "1--20",
  month =        may,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v019.i08",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/litprog.bib;
                 http://www.math.utah.edu/pub/tex/bib/sas.bib",
  URL =          "http://www.jstatsoft.org/v19/i08",
  abstract =     "SASweave is a collection of scripts that allow one to
                 embed SAS code into a {\LaTeX} document, and
                 automatically incorporate the results as well. SASweave
                 is patterned after Sweave, which does the same thing
                 for code written in R. In fact, a document may contain
                 both SAS and R code. Besides the convenience of being
                 able to easily incorporate SAS examples in a document,
                 SASweave facilitates the concept of ``literate
                 programming'': having code, documentation, and results
                 packaged together. Among other things, this helps to
                 ensure that the SAS output in the document is in
                 concordance with the code.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-02-14; Accepted 2007-05-27",
  xxtitle =      "{SASweave}: Literate Programming Using {SAS}",
}

@Article{Gramacy:2007:TRP,
  author =       "Robert B. Gramacy",
  title =        "\pkg{tgp}: An {R} Package for {Bayesian}
                 Nonstationary, Semiparametric Nonlinear Regression and
                 Design by Treed {Gaussian} Process Models",
  journal =      j-J-STAT-SOFT,
  volume =       "19",
  number =       "9",
  pages =        "1--46",
  month =        jun,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v019.i09",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:15 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v19/i09",
  abstract =     "The \pkg{tgp} package for R is a tool for fully
                 Bayesian nonstationary, semiparametric nonlinear
                 regression and design by treed Gaussian processes with
                 jumps to the limiting linear model. Special cases also
                 implemented include Bayesian linear models, linear
                 CART, stationary separable and isotropic Gaussian
                 processes. In addition to inference and posterior
                 prediction, the package supports the (sequential)
                 design of experiments under these models paired with
                 several objective criteria. 1-d and 2-d plotting, with
                 higher dimension projection and slice capabilities, and
                 tree drawing functions (requiring maptree and combinat
                 packages), are also provided for visualization of
                 \pkg{tgp} objects.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-07-12; Accepted 2007-06-13",
  xxtitle =      "tgp: An R Package for Bayesian Nonstationary,
                 Semiparametric Nonlinear Regression and Design by Treed
                 Gaussian Process Models",
}

@Article{deLeeuw:2007:ISV,
  author =       "Jan de Leeuw and Patrick Mair",
  title =        "An Introduction to the Special Volume on {{\em
                 ``Psychometrics in R''}}",
  journal =      j-J-STAT-SOFT,
  volume =       "20",
  number =       "1",
  pages =        "1--5",
  month =        may,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v020.i01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v20/i01",
  abstract =     "This special volume presents a select number of
                 psychometric techniques, many of them original, and
                 their implementation in R packages.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-07-12; Accepted 2007-05-01",
  xxtitle =      "An Introduction to the Special Volume on
                 ``Psychometrics in R''",
}

@Article{Doran:2007:EMR,
  author =       "Harold Doran and Douglas Bates and Paul Bliese and
                 Maritza Dowling",
  title =        "Estimating the Multilevel {Rasch} Model: With the
                 \pkg{lme4} Package",
  journal =      j-J-STAT-SOFT,
  volume =       "20",
  number =       "2",
  pages =        "1--18",
  month =        feb,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v020.i02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v20/i02",
  abstract =     "Traditional Rasch estimation of the item and student
                 parameters via marginal maximum likelihood, joint
                 maximum likelihood or conditional maximum likelihood,
                 assume individuals in clustered settings are
                 uncorrelated and items within a test that share a
                 grouping structure are also uncorrelated. These
                 assumptions are often violated, particularly in
                 educational testing situations, in which students are
                 grouped into classrooms and many test items share a
                 common grouping structure, such as a content strand or
                 a reading passage. Consequently, one possible approach
                 is to explicitly recognize the clustered nature of the
                 data and directly incorporate random effects to account
                 for the various dependencies. This article demonstrates
                 how the multilevel Rasch model can be estimated using
                 the functions in R for mixed-effects models with
                 crossed or partially crossed random effects. We
                 demonstrate how to model the following hierarchical
                 data structures: (a) individuals clustered in similar
                 settings (e.g., classrooms, schools), (b) items nested
                 within a particular group (such as a content strand or
                 a reading passage), and (c) how to estimate a teacher $
                 \times $ content strand interaction.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-10-01; Accepted 2007-02-22",
  xxtitle =      "Estimating the Multilevel Rasch Model: With the lme4
                 Package",
}

@Article{Nenadic:2007:RS,
  author =       "Oleg Nenadi{\'c} and Michael Greenacre",
  title =        "Correspondence Analysis in {R}, with Two- and
                 Three-dimensional Graphics: The \pkg{ca} Package",
  journal =      j-J-STAT-SOFT,
  volume =       "20",
  number =       "3",
  pages =        "1--13",
  month =        feb,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v020.i03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v20/i03",
  abstract =     "We describe an implementation of simple, multiple and
                 joint correspondence analysis in R. The resulting
                 package comprises two parts, one for simple
                 correspondence analysis and one for multiple and joint
                 correspondence analysis. Within each part, functions
                 for computation, summaries and visualization in two and
                 three dimensions are provided, including options to
                 display supplementary points and perform subset
                 analyses. Special emphasis has been put on the
                 visualization functions that offer features such as
                 different scaling options for biplots and
                 three-dimensional maps using the rgl package. Graphical
                 options include shading and sizing plot symbols for the
                 points according to their contributions to the map and
                 masses respectively.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-10-01; Accepted 2007-02-22",
  xxtitle =      "Correspondence Analysis in R, with Two- and
                 Three-dimensional Graphics: The ca Package",
}

@Article{Verhelst:2007:RS,
  author =       "Norman D. Verhelst and Reinhold Hatzinger and Patrick
                 Mair",
  title =        "The {Rasch} Sampler",
  journal =      j-J-STAT-SOFT,
  volume =       "20",
  number =       "4",
  pages =        "1--14",
  month =        feb,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v020.i04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v20/i04",
  abstract =     "The Rasch sampler is an efficient algorithm to sample
                 binary matrices with given marginal sums. It is a
                 Markov chain Monte Carlo (MCMC) algorithm. The program
                 can handle matrices of up to 1024 rows and 64 columns.
                 A special option allows to sample square matrices with
                 given marginals and fixed main diagonal, a problem
                 prominent in social network analysis. In all cases the
                 stationary distribution is uniform. The user has
                 control on the serial dependency.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-10-01; Accepted 2007-02-22",
  xxtitle =      "The Rasch Sampler",
}

@Article{Fox:2007:MIM,
  author =       "Jean-Paul Fox",
  title =        "Multilevel {IRT} Modeling in Practice with the Package
                 \pkg{mlirt}",
  journal =      j-J-STAT-SOFT,
  volume =       "20",
  number =       "5",
  pages =        "1--16",
  month =        feb,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v020.i05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v20/i05",
  abstract =     "Variance component models are generally accepted for
                 the analysis of hierarchical structured data. A
                 shortcoming is that outcome variables are still treated
                 as measured without an error. Unreliable variables
                 produce biases in the estimates of the other model
                 parameters. The variability of the relationships across
                 groups and the group-effects on individuals' outcomes
                 differ substantially when taking the measurement error
                 in the dependent variable of the model into account.
                 The multilevel model can be extended to handle
                 measurement error using an item response theory (IRT)
                 model, leading to a multilevel IRT model. This extended
                 multilevel model is in particular suitable for the
                 analysis of educational response data where students
                 are nested in schools and schools are nested within
                 cities/countries.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-10-01; Accepted 2007-02-22",
  xxtitle =      "Multilevel {IRT} Modeling in Practice with the Package
                 mlirt",
}

@Article{Anderson:2007:EMR,
  author =       "Carolyn J. Anderson and Zhushan Li and Jeroen K.
                 Vermunt",
  title =        "Estimation of Models in a {Rasch} Family for
                 Polytomous Items and Multiple Latent Variables",
  journal =      j-J-STAT-SOFT,
  volume =       "20",
  number =       "6",
  pages =        "1--36",
  month =        feb,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v020.i06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v20/i06",
  abstract =     "The Rasch family of models considered in this paper
                 includes models for polytomous items and multiple
                 correlated latent traits, as well as for dichotomous
                 items and a single latent variable. An R package is
                 described that computes estimates of parameters and
                 robust standard errors of a class of
                 log-linear-by-linear association (LLLA) models, which
                 are derived from a Rasch family of models. The LLLA
                 models are special cases of log-linear models with
                 bivariate interactions. Maximum likelihood estimation
                 of LLLA models in this form is limited to relatively
                 small problems; however, pseudo-likelihood estimation
                 overcomes this limitation. Maximizing the
                 pseudo-likelihood function is achieved by maximizing
                 the likelihood of a single conditional multinomial
                 logistic regression model. The parameter estimates are
                 asymptotically normal and consistent. Based on our
                 simulation studies, the pseudo-likelihood and maximum
                 likelihood estimates of the parameters of LLLA models
                 are nearly identical and the loss of efficiency is
                 negligible. Recovery of parameters of Rasch models fit
                 to simulated data is excellent.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-10-01; Accepted 2007-07-26",
  xxtitle =      "Estimation of Models in a Rasch Family for Polytomous
                 Items and Multiple Latent Variables",
}

@Article{Fox:2007:MRR,
  author =       "Jean-Paul Fox and Rinke Klein Entink and Wim van der
                 Linden",
  title =        "Modeling of Responses and Response Times with the
                 Package \pkg{cirt}",
  journal =      j-J-STAT-SOFT,
  volume =       "20",
  number =       "7",
  pages =        "1--14",
  month =        feb,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v020.i07",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v20/i07",
  abstract =     "In computerized testing, the test takers' responses as
                 well as their response times on the items are recorded.
                 The relationship between response times and response
                 accuracies is complex and varies over levels of
                 observation. For example, it takes the form of a
                 tradeoff between speed and accuracy at the level of a
                 fixed person but may become a positive correlation for
                 a population of test takers. In order to explore such
                 relationships and test hypotheses about them, a
                 conjoint model is proposed. Item responses are modeled
                 by a two-parameter normal-ogive IRT model and response
                 times by a lognormal model. The two models are combined
                 using a hierarchical framework based on the fact that
                 response times and responses are nested within
                 individuals. All parameters can be estimated
                 simultaneously using an MCMC estimation approach. A
                 R-package for the MCMC algorithm is presented and
                 explained.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-10-01; Accepted 2007-02-22",
  xxtitle =      "Modeling of Responses and Response Times with the
                 Package cirt",
}

@Article{Kelley:2007:CIS,
  author =       "Ken Kelley",
  title =        "Confidence Intervals for Standardized Effect Sizes:
                 Theory, Application, and Implementation",
  journal =      j-J-STAT-SOFT,
  volume =       "20",
  number =       "8",
  pages =        "1--24",
  month =        feb,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v020.i08",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v20/i08",
  abstract =     "The behavioral, educational, and social sciences are
                 undergoing a paradigmatic shift in methodology, from
                 disciplines that focus on the dichotomous outcome of
                 null hypothesis significance tests to disciplines that
                 report and interpret effect sizes and their
                 corresponding confidence intervals. Due to the
                 arbitrariness of many measurement instruments used in
                 the behavioral, educational, and social sciences, some
                 of the most widely reported effect sizes are
                 standardized. Although forming confidence intervals for
                 standardized effect sizes can be very beneficial, such
                 confidence interval procedures are generally difficult
                 to implement because they depend on noncentral $t$,
                 $F$, and $ x^2$ distributions. At present, no
                 main-stream statistical package provides exact
                 confidence intervals for standardized effects without
                 the use of specialized programming scripts. Methods for
                 the Behavioral, Educational, and Social Sciences
                 (MBESS) is an R package that has routines for
                 calculating confidence intervals for noncentral $t$,
                 $F$, and $ x^2$ distributions, which are then used in
                 the calculation of exact confidence intervals for
                 standardized effect sizes by using the confidence
                 interval transformation and inversion principles. The
                 present article discusses the way in which confidence
                 intervals are formed for standardized effect sizes and
                 illustrates how such confidence intervals can be easily
                 formed using MBESS in R.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-10-01; Accepted 2007-07-30",
  xxtitle =      "Confidence Intervals for Standardized Effect Sizes:
                 Theory, Application, and Implementation",
}

@Article{Mair:2007:ERM,
  author =       "Patrick Mair and Reinhold Hatzinger",
  title =        "Extended {Rasch} Modeling: The \pkg{eRm} Package for
                 the Application of {IRT} Models in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "20",
  number =       "9",
  pages =        "1--20",
  month =        feb,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v020.i09",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v20/i09",
  abstract =     "Item response theory models (IRT) are increasingly
                 becoming established in social science research,
                 particularly in the analysis of performance or
                 attitudinal data in psychology, education, medicine,
                 marketing and other fields where testing is relevant.
                 We propose the R package \pkg{eRm} (extended Rasch
                 modeling) for computing Rasch models and several
                 extensions. A main characteristic of some IRT models,
                 the Rasch model being the most prominent, concerns the
                 separation of two kinds of parameters, one that
                 describes qualities of the subject under investigation,
                 and the other relates to qualities of the situation
                 under which the response of a subject is observed.
                 Using conditional maximum likelihood (CML) estimation
                 both types of parameters may be estimated independently
                 from each other. IRT models are well suited to cope
                 with dichotomous and polytomous responses, where the
                 response categories may be unordered as well as
                 ordered. The incorporation of linear structures allows
                 for modeling the effects of covariates and enables the
                 analysis of repeated categorical measurements. The
                 \pkg{eRm} package fits the following models: the Rasch
                 model, the rating scale model (RSM), and the partial
                 credit model (PCM) as well as linear
                 reparameterizations through covariate structures like
                 the linear logistic test model (LLTM), the linear
                 rating scale model (LRSM), and the linear partial
                 credit model (LPCM). We use an unitary, efficient CML
                 approach to estimate the item parameters and their
                 standard errors. Graphical and numeric tools for
                 assessing goodness-of-fit are provided.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-10-01; Accepted 2007-02-22",
  xxtitle =      "Extended Rasch Modeling: The {eRm} Package for the
                 Application of {IRT} Models in R",
}

@Article{Johnson:2007:MML,
  author =       "Matthew S. Johnson",
  title =        "Marginal Maximum Likelihood Estimation of Item
                 Response Models in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "20",
  number =       "10",
  pages =        "1--24",
  month =        feb,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v020.i10",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v20/i10",
  abstract =     "Item response theory (IRT) models are a class of
                 statistical models used by researchers to describe the
                 response behaviors of individuals to a set of
                 categorically scored items. The most common IRT models
                 can be classified as generalized linear fixed- and/or
                 mixed-effect models. Although IRT models appear most
                 often in the psychological testing literature,
                 researchers in other fields have successfully utilized
                 IRT-like models in a wide variety of applications. This
                 paper discusses the three major methods of estimation
                 in IRT and develops R functions utilizing the built-in
                 capabilities of the R environment to find the marginal
                 maximum likelihood estimates of the generalized partial
                 credit model. The currently available R packages
                 \pkg{ltm} is also discussed.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-10-01; Accepted 2007-02-22",
  xxtitle =      "Marginal Maximum Likelihood Estimation of Item
                 Response Models in R",
}

@Article{vanderArk:2007:MSA,
  author =       "L. Andries van der Ark",
  title =        "{Mokken} Scale Analysis in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "20",
  number =       "11",
  pages =        "1--19",
  month =        feb,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v020.i11",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v20/i11",
  abstract =     "Mokken scale analysis (MSA) is a scaling procedure for
                 both dichotomous and polytomous items. It consists of
                 an item selection algorithm to partition a set of items
                 into Mokken scales and several methods to check the
                 assumptions of two nonparametric item response theory
                 models: the monotone homogeneity model and the double
                 monotonicity model. First, we present an R package
                 mokken for MSA and explain the procedures. Second, we
                 show how to perform MSA in R using test data obtained
                 with the Adjective Checklist.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-10-01; Accepted 2007-02-22",
  xxtitle =      "Mokken Scale Analysis in R",
}

@Article{Hilbe:2007:BRB,
  author =       "Joseph Hilbe",
  title =        "Book Review: {{\booktitle{Bayesian Core: A Practical
                 Approach to Bayesian Computational Statistics}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "21",
  number =       "BR-1",
  pages =        "1--5",
  month =        jul,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v021.b01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v21/b01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-07-30; Accepted 2007-07-30",
}

@Article{Sabatti:2007:BRB,
  author =       "Chiara Sabatti",
  title =        "Book Review: {{\booktitle{The Statistics of Gene
                 Mapping}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "21",
  number =       "BR-2",
  pages =        "1--2",
  month =        sep,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v021.b02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v21/b02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-09-03; Accepted 2007-09-03",
}

@Article{Gumprecht:2007:BRB,
  author =       "Daniela Gumprecht",
  title =        "Book Review: {{\booktitle{Model-based
                 Geostatistics}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "21",
  number =       "BR-3",
  pages =        "1--2",
  month =        sep,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v021.b03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v21/b03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-09-03; Accepted 2007-09-03",
}

@Article{Myers:2007:CSE,
  author =       "James Myers and Shih-Feng Huang and Jhishen Tsay",
  title =        "Code Snippet: Exact Conditional Inference for Two-way
                 Randomized {Bernoulli} Experiments",
  journal =      j-J-STAT-SOFT,
  volume =       "21",
  number =       "CS-1",
  pages =        "1--7",
  month =        sep,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v021.c01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v21/c01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-05-14; Accepted 2007-09-02",
}

@Article{Atman:2007:ATA,
  author =       "Micah Atman and Jeff Gill and Michael P. McDonald",
  title =        "\pkg{accuracy}: Tools for Accurate and Reliable
                 Statistical Computing",
  journal =      j-J-STAT-SOFT,
  volume =       "21",
  number =       "1",
  pages =        "1--30",
  month =        jul,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v021.i01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v21/i01",
  abstract =     "Most empirical social scientists are surprised that
                 low-level numerical issues in software can have
                 deleterious effects on the estimation process.
                 Statistical analyses that appear to be perfectly
                 successful can be invalidated by concealed numerical
                 problems. We have developed a set of tools, contained
                 in \pkg{accuracy}, a package for R and S-PLUS, to
                 diagnose problems stemming from numerical and
                 measurement error and to improve the accuracy of
                 inferences. The tools included in \pkg{accuracy}
                 include a framework for gauging the computational
                 stability of model results, tools for comparing model
                 results, optimization diagnostics, and tools for
                 collecting entropy for true random numbers
                 generation.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-02-28; Accepted 2007-06-25",
  xxtitle =      "accuracy: Tools for Accurate and Reliable Statistical
                 Computing",
}

@Article{Raimondo:2007:WTR,
  author =       "Marc Raimondo and Michael Stewart",
  title =        "The {WaveD} Transform in {R}: Performs Fast
                 Translation-Invariant Wavelet Deconvolution",
  journal =      j-J-STAT-SOFT,
  volume =       "21",
  number =       "2",
  pages =        "1--28",
  month =        jul,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v021.i02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v21/i02",
  abstract =     "This paper provides an introduction to a software
                 package called waved making available all code
                 necessary for reproducing the figures in the recently
                 published articles on the WaveD transform for wavelet
                 deconvolution of noisy signals. The forward WaveD
                 transforms and their inverses can be computed using any
                 wavelet from the Meyer family. The WaveD coefficients
                 can be depicted according to time and resolution in
                 several ways for data analysis. The algorithm which
                 implements the translation invariant WaveD transform
                 takes full advantage of the fast Fourier transform
                 (FFT) and runs in $ O(n(\log n)^2) $ steps only. The
                 waved package includes functions to perform
                 thresholding and tne resolution tuning according to
                 methods in the literature as well as newly designed
                 visual and statistical tools for assessing WaveD fits.
                 We give a waved tutorial session and review benchmark
                 examples of noisy convolutions to illustrate the
                 non-linear adaptive properties of wavelet
                 deconvolution.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-03-06; Accepted 2007-04-20",
  xxtitle =      "The {WaveD} Transform in R: Performs Fast
                 Translation-Invariant Wavelet Deconvolution",
}

@Article{Zamar:2007:ESI,
  author =       "David Zamar and Brad McNeney and Jinko Graham",
  title =        "\pkg{elrm}: Software Implementing Exact-Like Inference
                 for Logistic Regression Models",
  journal =      j-J-STAT-SOFT,
  volume =       "21",
  number =       "3",
  pages =        "1--18",
  month =        oct,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v021.i03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v21/i03",
  abstract =     "Exact inference is based on the conditional
                 distribution of the sufficient statistics for the
                 parameters of interest given the observed values for
                 the remaining sufficient statistics. Exact inference
                 for logistic regression can be problematic when data
                 sets are large and the support of the conditional
                 distribution cannot be represented in memory.
                 Additionally, these methods are not widely implemented
                 except in commercial software packages such as LogXact
                 and SAS. Therefore, we have developed \pkg{elrm},
                 software for R implementing (approximate) exact
                 inference for binomial regression models from large
                 data sets. We provide a description of the underlying
                 statistical methods and illustrate the use of
                 \pkg{elrm} with examples. We also evaluate \pkg{elrm}
                 by comparing results with those obtained using other
                 methods.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-01-15; Accepted 2007-09-03",
  xxtitle =      "elrm: Software Implementing Exact-like Inference for
                 Logistic Regression Models",
}

@Article{Yan:2007:EJC,
  author =       "Jun Yan",
  title =        "Enjoy the Joy of Copulas: With a Package
                 \pkg{copula}",
  journal =      j-J-STAT-SOFT,
  volume =       "21",
  number =       "4",
  pages =        "1--21",
  month =        oct,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v021.i04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v21/i04",
  abstract =     "Copulas have become a popular tool in multivariate
                 modeling successfully applied in many fields. A good
                 open-source implementation of copulas is much needed
                 for more practitioners to enjoy the joy of copulas.
                 This article presents the design, features, and some
                 implementation details of the R package \pkg{copula}.
                 The package provides a carefully designed and easily
                 extensible platform for multivariate modeling with
                 copulas in R. S4 classes for most frequently used
                 elliptical copulas and Archimedean copulas are
                 implemented, with methods for density/distribution
                 evaluation, random number generation, and graphical
                 display. Fitting copula-based models with maximum
                 likelihood method is provided as template examples.
                 With the classes and methods in the package, the
                 package can be easily extended by user-defined copulas
                 and margins to solve problems.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-12-02; Accepted 2007-09-11",
  xxtitle =      "Enjoy the Joy of Copulas: With a Package copula",
}

@Article{Wehrens:2007:SSO,
  author =       "Ron Wehrens and Lutgarde M. C. Buydens",
  title =        "Self- and Super-organizing Maps in {R}: The
                 \pkg{kohonen} Package",
  journal =      j-J-STAT-SOFT,
  volume =       "21",
  number =       "5",
  pages =        "1--19",
  month =        oct,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v021.i05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v21/i05",
  abstract =     "In this age of ever-increasing data set sizes,
                 especially in the natural sciences, visualisation
                 becomes more and more important. Self-organizing maps
                 have many features that make them attractive in this
                 respect: they do not rely on distributional
                 assumptions, can handle huge data sets with ease, and
                 have shown their worth in a large number of
                 applications. In this paper, we highlight the
                 \pkg{kohonen} package for R, which implements
                 self-organizing maps as well as some extensions for
                 supervised pattern recognition and data fusion.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-05-04; Accepted 2007-10-08",
  xxtitle =      "Self- and Super-organizing Maps in R: The kohonen
                 Package",
}

@Article{Somerville:2007:CCV,
  author =       "Paul N. Somerville",
  title =        "Calculation of Critical Values for {Somerville}'s
                 {FDR} Procedures",
  journal =      j-J-STAT-SOFT,
  volume =       "21",
  number =       "6",
  pages =        "1--14",
  month =        oct,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v021.i06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v21/i06",
  abstract =     "A Fortran 95 program has been written to calculate
                 critical values for the step-up and step-down FDR
                 procedures developed by Somerville (2004). The program
                 allows for arbitrary selection of number of hypotheses,
                 FDR rate, one- or two-sided hypotheses, common
                 correlation coefficient of the test statistics and
                 degrees of freedom. An MCV (minimum critical value) may
                 be specified, or the program will calculate a specified
                 number of critical values or steps in an FDR procedure.
                 The program can also be used to efficiently ascertain
                 an upper bound to the number of hypotheses which the
                 procedure will reject, given either the values of the
                 test statistics, or their p values. Limiting the number
                 of steps in an FDR procedure can be used to control the
                 number or proportion of false discoveries (Somerville
                 and Hemmelmann 2007). Using the program to calculate
                 the largest critical values makes possible efficient
                 use of the FDR procedures for very large numbers of
                 hypotheses.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-01-28; Accepted 2007-04-11",
  xxtitle =      "Calculation of Critical Values for Somerville's {FDR}
                 Procedures",
}

@Article{Duong:2007:KKD,
  author =       "Tarn Duong",
  title =        "\pkg{ks}: Kernel Density Estimation and Kernel
                 Discriminant Analysis for Multivariate Data in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "21",
  number =       "7",
  pages =        "1--16",
  month =        oct,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v021.i07",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v21/i07",
  abstract =     "Kernel smoothing is one of the most widely used
                 non-parametric data smoothing techniques. We introduce
                 a new R package \pkg{ks} for multivariate kernel
                 smoothing. Currently it contains functionality for
                 kernel density estimation and kernel discriminant
                 analysis. It is a comprehensive package for bandwidth
                 matrix selection, implementing a wide range of
                 data-driven diagonal and unconstrained bandwidth
                 selectors.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-03-04; Accepted 2007-09-12",
  xxtitle =      "ks: Kernel Density Estimation and Kernel Discriminant
                 Analysis for Multivariate Data in R",
}

@Article{Schmid:2007:BAP,
  author =       "Volker J. Schmid and Leonhard Held",
  title =        "{Bayesian} Age-Period-Cohort Modeling and Prediction
                 --- {BAMP}",
  journal =      j-J-STAT-SOFT,
  volume =       "21",
  number =       "8",
  pages =        "1--15",
  month =        oct,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v021.i08",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v21/i08",
  abstract =     "The software package BAMP provides a method of
                 analyzing incidence or mortality data on the Lexis
                 diagram, using a Bayesian version of an
                 age-period-cohort model. A hierarchical model is
                 assumed with a binomial model in the first-stage. As
                 smoothing priors for the age, period and cohort
                 parameters random walks of first and second order, with
                 and without an additional unstructured component are
                 available. Unstructured heterogeneity can also be
                 included in the model. In order to evaluate the model
                 fit, posterior deviance, DIC and predictive deviances
                 are computed. By projecting the random walk prior into
                 the future, future death rates can be predicted.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-09-04; Accepted 2007-10-01",
  xxtitle =      "Bayesian Age-Period-Cohort Modeling and Prediction -
                 {BAMP}",
}

@Article{Su:2007:FSM,
  author =       "Steve Su",
  title =        "Fitting Single and Mixture of Generalized Lambda
                 Distributions to Data via Discretized and Maximum
                 Likelihood Methods: {GLDEX} in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "21",
  number =       "9",
  pages =        "1--17",
  month =        oct,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v021.i09",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v21/i09",
  abstract =     "This paper describes the use of GLDEX in R to fit
                 distributions to empirical data using the discretized
                 and maximum likelihood methods. The GLDEX package also
                 provides diagnostic tests to examine the quality of fit
                 through the resample Kolmogorov-Smirnoff test, quantile
                 plots and comparison of the mean, variance, skewness
                 and kurtosis between the empirical data and the fitted
                 distribution.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-11-07; Accepted 2007-09-15",
  xxtitle =      "Fitting Single and Mixture of Generalized Lambda
                 Distributions to Data via Discretized and Maximum
                 Likelihood Methods: {GLDEX} in R",
}

@Article{Nguyen:2007:NSE,
  author =       "Paul Nguyen",
  title =        "\pkg{nonbinROC}: Software for Evaluating Diagnostic
                 Accuracies with Non-Binary Gold Standards",
  journal =      j-J-STAT-SOFT,
  volume =       "21",
  number =       "10",
  pages =        "1--10",
  month =        nov,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v021.i10",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v21/i10",
  abstract =     "ROC analysis is a standard method for estimating and
                 comparing diagnostic tests' accuracies when the gold
                 standard is binary. However, there are many situations
                 when the gold standard is not binary. In these
                 situations, traditional ROC methods applied have lead
                 to biased and uninformative outcomes. This article
                 introduces nonbinROC, software for R that implements
                 nonparametric estimators proposed by Obuchowski (2005)
                 for estimating and comparing diagnostic tests'
                 accuracies when the gold standard is measured on a
                 continuous, ordinal or nominal scale. The results
                 produced from these estimators are interpreted in the
                 same manner as in ROC analysis but are not associated
                 with any ROC curve.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-09-25; Accepted 2007-09-06",
  xxtitle =      "{nonbinROC}: Software for Evaluating Diagnostic
                 Accuracies with Non-Binary Gold Standards",
}

@Article{Smith:2007:PBR,
  author =       "Brian J. Smith",
  title =        "\pkg{boa}: An {R} Package for {MCMC} Output
                 Convergence Assessment and Posterior Inference",
  journal =      j-J-STAT-SOFT,
  volume =       "21",
  number =       "11",
  pages =        "1--37",
  month =        nov,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v021.i11",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v21/i11",
  abstract =     "Markov chain Monte Carlo (MCMC) is the most widely
                 used method of estimating joint posterior distributions
                 in Bayesian analysis. The idea of MCMC is to
                 iteratively produce parameter values that are
                 representative samples from the joint posterior. Unlike
                 frequentist analysis where iterative model fitting
                 routines are monitored for convergence to a single
                 point, MCMC output is monitored for convergence to a
                 distribution. Thus, specialized diagnostic tools are
                 needed in the Bayesian setting. To this end, the R
                 package \pkg{boa} was created. This manuscript presents
                 the user's manual for \pkg{boa}, which outlines the use
                 of and methodology upon which the software is based.
                 Included is a description of the menu system, data
                 management capabilities, and statistical/graphical
                 methods for convergence assessment and posterior
                 inference. Throughout the manual, a linear regression
                 example is used to illustrate the software.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-04-27; Accepted 2007-10-14",
  xxtitle =      "boa: An R Package for {MCMC} Output Convergence
                 Assessment and Posterior Inference",
}

@Article{Wickham:2007:RDR,
  author =       "Hadley Wickham",
  title =        "Reshaping Data with the \pkg{reshape} Package",
  journal =      j-J-STAT-SOFT,
  volume =       "21",
  number =       "12",
  pages =        "1--20",
  month =        nov,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v021.i12",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v21/i12",
  abstract =     "This paper presents the \pkg{reshape} package for R,
                 which provides a common framework for many types of
                 data reshaping and aggregation. It uses a paradigm of
                 melting' and 'casting', where the data are 'melted'
                 into a form which distinguishes measured and
                 identifying variables, and then 'cast' into a new
                 shape, whether it be a data frame, list, or high
                 dimensional array. The paper includes an introduction
                 to the conceptual framework, practical advice for
                 melting and casting, and a case study.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-02-25; Accepted 2007-09-15",
  xxtitle =      "Reshaping Data with the reshape Package",
}

@Article{Kneib:2007:ISV,
  author =       "Thomas Kneib and Thomas Petzoldt",
  title =        "Introduction to the Special Volume on {{\em ``Ecology
                 and Ecological Modeling in R''}}",
  journal =      j-J-STAT-SOFT,
  volume =       "22",
  number =       "1",
  pages =        "1--7",
  month =        sep,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v022.i01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v22/i01",
  abstract =     "The third special volume in the ``Foometrics in R''
                 series of the Journal of Statistical Software collects
                 a number of contributions describing statistical
                 methodology and corresponding implementations related
                 to ecology and ecological modelling. The scope of the
                 papers ranges from theoretical ecology and ecological
                 modelling to statistical methodology relevant for data
                 analyses in ecological applications.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-09-13; Accepted 2007-09-13",
  xxtitle =      "Introduction to the Special Volume on ``Ecology and
                 Ecological Modelling in R''",
}

@Article{Simpson:2007:AMP,
  author =       "Gavin L. Simpson",
  title =        "Analogue Methods in Palaeoecology: Using the
                 \pkg{analogue} Package",
  journal =      j-J-STAT-SOFT,
  volume =       "22",
  number =       "2",
  pages =        "1--29",
  month =        sep,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v022.i02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v22/i02",
  abstract =     "Palaeoecology is an important branch of ecology that
                 uses the subfossil remains of organisms preserved in
                 lake, ocean and bog sediments to inform on changes in
                 ecosystems and the environment through time. The
                 \pkg{analogue} package contains functions to perform
                 modern analogue technique (MAT) transfer functions,
                 which can be used to predict past changes in the
                 environment, such as climate or lake-water pH from
                 species data. A related technique is that of analogue
                 matching, which is concerned with identifying modern
                 sites that are floristically and faunistically similar
                 to fossil samples. These techniques, and others, are
                 increasingly being used to inform public policy on
                 environmental pollution and conservation practices.
                 These methods and other functionality in \pkg{analogue}
                 are illustrated using the Surface Waters Acidification
                 Project diatom:pH training set and diatom counts on
                 samples of a sediment core from the Round Loch of
                 Glenhead, Galloway, Scotland. The paper is aimed at
                 palaeoecologists who are familiar with the techniques
                 described but not with R.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-02-15; Accepted 2007-08-06",
  xxtitle =      "Analogue Methods in Palaeoecology: Using the analogue
                 Package",
}

@Article{Yuan:2007:MLM,
  author =       "Lester L. Yuan",
  title =        "Maximum Likelihood Method for Predicting Environmental
                 Conditions from Assemblage Composition: The {R} Package
                 \pkg{bio.infer}",
  journal =      j-J-STAT-SOFT,
  volume =       "22",
  number =       "3",
  pages =        "1--20",
  month =        sep,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v022.i03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v22/i03",
  abstract =     "This paper provides a brief introduction to the R
                 package \pkg{bio.infer}, a set of scripts that
                 facilitates the use of maximum likelihood (ML) methods
                 for predicting environmental conditions from assemblage
                 composition. Environmental conditions can often be
                 inferred from only biological data, and these
                 inferences are useful when other sources of data are
                 unavailable. ML prediction methods are statistically
                 rigorous and applicable to a broader set of problems
                 than more commonly used weighted averaging techniques.
                 However, ML methods require a substantially greater
                 investment of time to program algorithms and to perform
                 computations. This package is designed to reduce the
                 effort required to apply ML prediction methods.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-01-10; Accepted 2007-06-22",
  xxtitle =      "Maximum Likelihood Method for Predicting Environmental
                 Conditions from Assemblage Composition: The R Package
                 bio.infer",
}

@Article{Dray:2007:API,
  author =       "St{\'e}phane Dray and Anne-B{\'e}atrice Dufour",
  title =        "The \pkg{ade4} Package: Implementing the Duality
                 Diagram for Ecologists",
  journal =      j-J-STAT-SOFT,
  volume =       "22",
  number =       "4",
  pages =        "1--20",
  month =        sep,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v022.i04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v22/i04",
  abstract =     "Multivariate analyses are well known and widely used
                 to identify and understand structures of ecological
                 communities. The \pkg{ade4} package for the R
                 statistical environment proposes a great number of
                 multivariate methods. Its implementation follows the
                 tradition of the French school of ``Analyse des
                 Donn{\'e}es'' and is based on the use of the duality
                 diagram. We present the theory of the duality diagram
                 and discuss its implementation in \pkg{ade4}. Classes
                 and main functions are presented. An example is given
                 to illustrate the \pkg{ade4} philosophy.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-02-13; Accepted 2007-06-04",
  xxtitle =      "The ade4 Package: Implementing the Duality Diagram for
                 Ecologists",
}

@Article{Thioulouse:2007:IMD,
  author =       "Jean Thioulouse and St{\'e}phane Dray",
  title =        "Interactive Multivariate Data Analysis in {R} with the
                 \pkg{ade4} and \pkg{ade4TkGUI} Packages",
  journal =      j-J-STAT-SOFT,
  volume =       "22",
  number =       "5",
  pages =        "1--14",
  month =        sep,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v022.i05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v22/i05",
  abstract =     "\pkg{ade4} is a multivariate data analysis package for
                 the R statistical environment, and \pkg{ade4TkGUI} is a
                 Tcl/Tk graphical user interface for the most essential
                 methods of \pkg{ade4}. Both packages are available on
                 CRAN. An overview of \pkg{ade4TkGUI} is presented, and
                 the pros and cons of this approach are discussed. We
                 conclude that command line interfaces (CLI) and
                 graphical user interfaces (GUI) are complementary.
                 \pkg{ade4TkGUI} can be valuable for biologists and
                 particularly for ecologists who are often occasional
                 users of R. It can spare them having to acquire an
                 in-depth knowledge of R, and it can help first time
                 users in a first approach.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-01-08; Accepted 2007-10-02",
  xxtitle =      "Interactive Multivariate Data Analysis in R with the
                 ade4 and ade4TkGUI Packages",
}

@Article{Calenge:2007:EHS,
  author =       "Cl{\'e}ment Calenge",
  title =        "Exploring Habitat Selection by Wildlife with
                 \pkg{adehabitat}",
  journal =      j-J-STAT-SOFT,
  volume =       "22",
  number =       "6",
  pages =        "1--19",
  month =        sep,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v022.i06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v22/i06",
  abstract =     "Knowledge of the environmental features affecting
                 habitat selection by animals is important for designing
                 wildlife management and conservation policies. The
                 package \pkg{adehabitat} for the R software is designed
                 to provide a computing environment for the analysis and
                 modelling of such relationships. This paper focuses on
                 the preliminary steps of data exploration and analysis,
                 performed prior to a more formal modelling of habitat
                 selection. In this context, I illustrate the use of a
                 factorial analysis, the K-select analysis. This method
                 is a factorial decomposition of marginality, one
                 measure of habitat selection. This method was chosen to
                 present the package because it illustrates clearly many
                 of its features (home range estimation, spatial
                 analyses, graphical possibilities, etc.). I strongly
                 stress the powerful capabilities of factorial methods
                 for data analysis, using as an example the analysis of
                 habitat selection by the wild boar (Sus scrofa L.) in a
                 Mediterranean environment.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-01-18; Accepted 2007-07-05",
  xxtitle =      "Exploring Habitat Selection by Wildlife with
                 adehabitat",
}

@Article{Goslee:2007:EPD,
  author =       "Sarah C. Goslee and Dean L. Urban",
  title =        "The \pkg{ecodist} Package for Dissimilarity-based
                 Analysis of Ecological Data",
  journal =      j-J-STAT-SOFT,
  volume =       "22",
  number =       "7",
  pages =        "1--19",
  month =        sep,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v022.i07",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v22/i07",
  abstract =     "Ecologists are concerned with the relationships
                 between species composition and environmental framework
                 incorporating space explicitly is an extremely flexible
                 tool for answering these questions. The R package
                 \pkg{ecodist} brings together methods for working with
                 dissimilarities, including some not available in other
                 R packages. We present some of the features of
                 \pkg{ecodist}, particularly simple and partial Mantel
                 tests, and make recommendations for their effective
                 use. Although the partial Mantel test is often used to
                 account for the effects of space, the assumption of
                 linearity greatly reduces its effectiveness for complex
                 spatial patterns. We introduce a modification of the
                 Mantel correlogram designed to overcome this
                 restriction and allow consideration of complex
                 nonlinear structures. This extension of the method
                 allows the use of partial multivariate correlograms and
                 tests of relationship between variables at different
                 spatial scales. Some of the possibilities are
                 demonstrated using both artificial data and data from
                 an ongoing study of plant community composition in
                 grazing lands of the northeastern United States.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-01-09; Accepted 2007-06-11",
  xxtitle =      "The ecodist Package for Dissimilarity-based Analysis
                 of Ecological Data",
}

@Article{Jachner:2007:SMQ,
  author =       "Stefanie Jachner and K. Gerald van den Boogaart and
                 Thomas Petzoldt",
  title =        "Statistical Methods for the Qualitative Assessment of
                 Dynamic Models with Time Delay ({R} Package
                 \pkg{qualV})",
  journal =      j-J-STAT-SOFT,
  volume =       "22",
  number =       "8",
  pages =        "1--30",
  month =        sep,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v022.i08",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v22/i08",
  abstract =     "Results of ecological models differ, to some extent,
                 more from measured data than from empirical knowledge.
                 Existing techniques for validation based on
                 quantitative assessments sometimes cause an
                 underestimation of the performance of models due to
                 time shifts, accelerations and delays or systematic
                 differences between measurement and simulation.
                 However, for the application of such models it is often
                 more important to reproduce essential patterns instead
                 of seemingly exact numerical values. This paper
                 presents techniques to identify patterns and numerical
                 methods to measure the consistency of patterns between
                 observations and model results. An orthogonal set of
                 deviance measures for absolute, relative and ordinal
                 scale was compiled to provide informations about the
                 type of difference. Furthermore, two different
                 approaches accounting for time shifts were presented.
                 The first one transforms the time to take time delays
                 and speed differences into account. The second one
                 describes known qualitative criteria dividing time
                 series into interval units in accordance to their main
                 features. The methods differ in their basic concepts
                 and in the form of the resulting criteria. Both
                 approaches and the deviance measures discussed are
                 implemented in an R package. All methods are
                 demonstrated by means of water quality measurements and
                 simulation data. The proposed quality criteria allow to
                 recognize systematic differences and time shifts
                 between time series and to conclude about the
                 quantitative and qualitative similarity of patterns.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-02-26; Accepted 2007-06-25",
  xxtitle =      "Statistical Methods for the Qualitative Assessment of
                 Dynamic Models with Time Delay ( R Package {qualV} )",
}

@Article{Petzoldt:2007:SOO,
  author =       "Thomas Petzoldt and Karsten Rinke",
  title =        "\pkg{simecol}: An Object-Oriented Framework for
                 Ecological Modeling in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "22",
  number =       "9",
  pages =        "1--31",
  month =        sep,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v022.i09",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v22/i09",
  abstract =     "The \pkg{simecol} package provides an open structure
                 to implement, simulate and share ecological models. A
                 generalized object-oriented architecture improves
                 readability and potential code re-use of models and
                 makes \pkg{simecol}-models freely extendible and simple
                 to use. The \pkg{simecol} package was implemented in
                 the S4 class system of the programming language R.
                 Reference applications, e.g. predator-prey models or
                 grid models are provided which can be used as a
                 starting point for own developments. Compact example
                 applications and the complete code of an
                 individual-based model of the water flea Daphnia
                 document the efficient usage of \pkg{simecol} for
                 various purposes in ecological modeling, e.g. scenario
                 analysis, stochastic simulations and individual based
                 population dynamics. Ecologists are encouraged to
                 exploit the abilities of \pkg{simecol} to structure
                 their work and to use R and object-oriented programming
                 as a suitable medium for the distribution and share of
                 ecological modeling code.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-02-21; Accepted 2007-06-08",
  xxtitle =      "simecol: An Object-Oriented Framework for Ecological
                 Modeling in R",
}

@Article{Jones:2007:DPC,
  author =       "James Holland Jones",
  title =        "\pkg{demogR}: a Package for the Construction and
                 Analysis of Age-structured Demographic Models in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "22",
  number =       "10",
  pages =        "1--28",
  month =        sep,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v022.i10",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v22/i10",
  abstract =     "The analysis of matrix population models has become a
                 fundamental tool in ecology, conservation biology, and
                 life history theory. In this paper, I present
                 \pkg{demogR}, a package for analyzing age-structured
                 population models in R. The package includes tools for
                 the construction and analysis of matrix population
                 models. In addition to the standard analyses commonly
                 used in evolutionary demography and conservation
                 biology, \pkg{demogR} contains a variety of tools from
                 classical demography. This includes the construction of
                 period life tables, and the generation of model
                 mortality and fertility schedules for human
                 populations. The tools in \pkg{demogR} are generally
                 applicable to age-structured populations but are
                 particularly useful for analyzing problems in human
                 ecology. I illustrate some of the capabilities of the
                 package by doing an evolutionary demographic analysis
                 of several human populations.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-02-17; Accepted 2007-08-28",
  xxtitle =      "{demogR}: A Package for the Construction and Analysis
                 of Age-structured Demographic Models in R",
}

@Article{Stubben:2007:EAD,
  author =       "Chris Stubben and Brook Milligan",
  title =        "Estimating and Analyzing Demographic Models Using the
                 \pkg{popbio} Package in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "22",
  number =       "11",
  pages =        "1--23",
  month =        sep,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v022.i11",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v22/i11",
  abstract =     "A complete assessment of population growth and
                 viability from field census data often requires complex
                 data manipulations, statistical routines, mathematical
                 tools, programming environments, and graphical
                 capabilities. We therefore designed an R package called
                 \pkg{popbio} to facilitate both the construction and
                 analysis of projection matrix models. The package
                 consists primarily of the R translation of MATLAB code
                 found in Caswell (2001) and Morris and Doak (2002) for
                 the analysis of projection matrix models. The package
                 also includes methods to estimate vital rates and
                 construct projection matrix models from census data
                 typically collected in plant demography studies. In
                 these studies, vital rates can often be estimated
                 directly from annual censuses of tagged individuals
                 using transition frequency tables. Because the
                 construction of projection matrix models requires
                 careful management of census data, we describe the
                 steps to construct a projection matrix in detail.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-02-16; Accepted 2007-08-28",
  xxtitle =      "Estimating and Analyzing Demographic Models Using the
                 popbio Package in R",
}

@Article{Hankin:2007:IUR,
  author =       "Robin K. S. Hankin",
  title =        "Introducing \pkg{untb}, an {R} Package For Simulating
                 Ecological Drift Under the Unified Neutral Theory of
                 Biodiversity",
  journal =      j-J-STAT-SOFT,
  volume =       "22",
  number =       "12",
  pages =        "1--15",
  month =        sep,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v022.i12",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v22/i12",
  abstract =     "The distribution of abundance amongst species with
                 similar ways of life is a classical problem in ecology.
                 The unified neutral theory of biodiversity, due to
                 Hubbell, states that observed population dynamics may
                 be explained on the assumption of per capita
                 equivalence amongst individuals. One can thus dispense
                 with differences between species, and differences
                 between abundant and rare species: a ll individuals
                 behave alike in respect of their probabilities of
                 reproducing and death. It is a striking fact that such
                 a parsimonious theory results in a non-trivial
                 dominance-diversity curve (that is, the simultaneous
                 existence of both abundant and rare species) and even
                 more striking that the theory predicts abundance curves
                 that match observations across a wide range of
                 ecologies. This paper introduces the \pkg{untb} package
                 of R routines, for numerical simulation of ecological
                 drift under the unified neutral theory. A range of
                 visualization, analytical, and simulation tools are
                 provided in the package and these are presented with
                 examples in the paper.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-08-31; Accepted 2007-06-15",
  xxtitle =      "Introducing untb, an R Package For Simulating
                 Ecological Drift Under the Unified Neutral Theory of
                 Biodiversity",
}

@Article{Hughett:2007:CSA,
  author =       "Paul Hughett",
  title =        "Code Snippet: Accurate Computation of the {F-to-z} and
                 t-to-z Transforms for Large Arguments",
  journal =      j-J-STAT-SOFT,
  volume =       "23",
  number =       "CS-1",
  pages =        "1--5",
  month =        nov,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v023.c01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v23/c01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-06-28; Accepted 2007-10-27",
}

@Article{Hankin:2007:CSS,
  author =       "Robin K. S. Hankin and Luke J. West",
  title =        "Code Snippet: Set Partitions in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "23",
  number =       "CS-2",
  pages =        "1--12",
  month =        dec,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v023.c02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v23/c02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-08-29; Accepted 2007-12-11",
}

@Article{Yaffee:2007:SRS,
  author =       "Robert Alan Yaffee",
  title =        "Software Review: {{\em Stata 10 (Time Series and
                 Forecasting)}}",
  journal =      j-J-STAT-SOFT,
  volume =       "23",
  number =       "SR-1",
  pages =        "1--18",
  month =        dec,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v023.s01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v23/s01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-12-12; Accepted 2007-12-12",
}

@Article{Brouste:2007:FGR,
  author =       "Alexandre Brouste and Jacques Istas and Sophie
                 Lambert-Lacroix",
  title =        "On Fractional {Gaussian} Random Fields Simulations",
  journal =      j-J-STAT-SOFT,
  volume =       "23",
  number =       "1",
  pages =        "1--23",
  month =        nov,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v023.i01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v23/i01",
  abstract =     "To simulate Gaussian fields poses serious numerical
                 problems: storage and computing time. The midpoint
                 displacement method is often used for simulating the
                 fractional Brownian fields because it is fast. We
                 propose an effective and fast method, valid not only
                 for fractional Brownian fields, but for any Gaussian
                 fields. First, our method is compared with midpoint for
                 fractional Brownian fields. Second, the performance of
                 our method is illustrated by simulating several
                 Gaussian fields. The software FieldSim is an R package
                 developed in R and C and that implements the procedures
                 on which this paper focuses.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-04-06; Accepted 2007-11-15",
  xxtitle =      "On Fractional Gaussian Random Fields Simulations",
}

@Article{Hahsler:2007:TIT,
  author =       "Michael Hahsler and Kurt Hornik",
  title =        "{TSP} --- Infrastructure for the Traveling Salesperson
                 Problem",
  journal =      j-J-STAT-SOFT,
  volume =       "23",
  number =       "2",
  pages =        "1--21",
  month =        dec,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v023.i02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v23/i02",
  abstract =     "The traveling salesperson (or, salesman) problem (TSP)
                 is a well known and important combinatorial
                 optimization problem. The goal is to find the shortest
                 tour that visits each city in a given list exactly once
                 and then returns to the starting city. Despite this
                 simple problem statement, solving the TSP is difficult
                 since it belongs to the class of NP-complete problems.
                 The importance of the TSP arises besides from its
                 theoretical appeal from the variety of its
                 applications. Typical applications in operations
                 research include vehicle routing, computer wiring,
                 cutting wallpaper and job sequencing. The main
                 application in statistics is combinatorial data
                 analysis, e.g., reordering rows and columns of data
                 matrices or identifying clusters. In this paper, we
                 introduce the R package TSP which provides a basic
                 infrastructure for handling and solving the traveling
                 salesperson problem. The package features S3 classes
                 for specifying a TSP and its (possibly optimal)
                 solution as well as several heuristics to find good
                 solutions. In addition, it provides an interface to
                 Concorde, one of the best exact TSP solvers currently
                 available.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-12-21; Accepted 2007-11-24",
  xxtitle =      "{TSP} - Infrastructure for the Traveling Salesperson
                 Problem",
}

@Article{Erdman:2007:BRP,
  author =       "Chandra Erdman and John W. Emerson",
  title =        "\pkg{bcp}: An {R} Package for Performing a {Bayesian}
                 Analysis of Change Point Problems",
  journal =      j-J-STAT-SOFT,
  volume =       "23",
  number =       "3",
  pages =        "1--13",
  month =        dec,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v023.i03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v23/i03",
  abstract =     "Barry and Hartigan (1993) propose a Bayesian analysis
                 for change point problems. We provide a brief summary
                 of selected work on change point problems, both
                 preceding and following Barry and Hartigan. We outline
                 Barry and Hartigan's approach and offer a new R
                 package, \pkg{pkgbcp} (Erdman and Emerson 2007),
                 implementing their analysis. We discuss two frequentist
                 alternatives to the Bayesian analysis, the recursive
                 circular binary segmentation algorithm (Olshen and
                 Venkatraman 2004) and the dynamic programming algorithm
                 of (Bai and Perron 2003). We illustrate the application
                 of \pkg{bcp} with economic and microarray data from the
                 literature.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-01-02; Accepted 2007-11-27",
  xxtitle =      "bcp: An R Package for Performing a Bayesian Analysis
                 of Change Point Problems",
}

@Article{Henningsen:2007:SPE,
  author =       "Arne Henningsen and Jeff D. Hamann",
  title =        "\pkg{systemfit}: a Package for Estimating Systems of
                 Simultaneous Equations in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "23",
  number =       "4",
  pages =        "1--40",
  month =        dec,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v023.i04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v23/i04",
  abstract =     "Many statistical analyses (e.g., in econometrics,
                 biostatistics and experimental design) are based on
                 models containing systems of structurally related
                 equations. The \pkg{systemfit} package provides the
                 capability to estimate systems of linear equations
                 within the R programming environment. For instance,
                 this package can be used for ``ordinary least squares''
                 (OLS), ``seemingly unrelated regression'' (SUR), and
                 the instrumental variable (IV) methods ``two-stage
                 least squares'' (2SLS) and ``three-stage least
                 squares'' (3SLS), where SUR and 3SLS estimations can
                 optionally be iterated. Furthermore, the
                 \pkg{systemfit} package provides tools for several
                 statistical tests. It has been tested on a variety of
                 datasets and its reliability is demonstrated.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-03-15; Accepted 2007-10-24",
  xxtitle =      "systemfit: A Package for Estimating Systems of
                 Simultaneous Equations in R",
}

@Article{McLeod:2007:ALT,
  author =       "A. Ian McLeod and Hao Yu and Zinovi L. Krougly",
  title =        "Algorithms for Linear Time Series Analysis: With {R}
                 Package",
  journal =      j-J-STAT-SOFT,
  volume =       "23",
  number =       "5",
  pages =        "1--26",
  month =        dec,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v023.i05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v23/i05",
  abstract =     "Our \pkg{ltsa} package implements the Durbin-Levinson
                 and Trench algorithms and provides a general approach
                 to the problems of fitting, forecasting and simulating
                 linear time series models as well as fitting regression
                 models with linear time series errors. For
                 computational efficiency both algorithms are
                 implemented in C and interfaced to R. Examples are
                 given which illustrate the efficiency and accuracy of
                 the algorithms. We provide a second package FGN which
                 illustrates the use of the \pkg{ltsa} package with
                 fractional Gaussian noise (FGN). It is hoped that the
                 \pkg{ltsa} will provide a base for further time series
                 software.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-10-14; Accepted 2007-11-11",
  remark =       "Describes package \pkg{ltsa}.",
  xxtitle =      "Algorithms for Linear Time Series Analysis: With R
                 Package",
}

@Article{Hojsgaard:2007:IGG,
  author =       "S{\o}ren H{\o}jsgaard and Steffen L. Lauritzen",
  title =        "Inference in Graphical {Gaussian} Models with Edge and
                 Vertex Symmetries with the \pkg{gRc} Package for {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "23",
  number =       "6",
  pages =        "1--26",
  month =        dec,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v023.i06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v23/i06",
  abstract =     "In this paper we present the R package \pkg{gRc} for
                 statistical inference in graphical Gaussian models in
                 which symmetry restrictions have been imposed on the
                 concentration or partial correlation matrix. The models
                 are represented by coloured graphs where parameters
                 associated with edges or vertices of same colour are
                 restricted to being identical. We describe algorithms
                 for maximum likelihood estimation and discuss model
                 selection issues. The paper illustrates the practical
                 use of the \pkg{gRc} package.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-09-20; Accepted 2007-09-06",
  xxtitle =      "Inference in Graphical Gaussian Models with Edge and
                 Vertex Symmetries with the {gRc} Package for R",
}

@Article{Stasinopoulos:2007:GAM,
  author =       "D. Mikis Stasinopoulos and Robert A. Rigby",
  title =        "Generalized Additive Models for Location Scale and
                 Shape ({GAMLSS}) in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "23",
  number =       "7",
  pages =        "1--46",
  month =        dec,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v023.i07",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v23/i07",
  abstract =     "GAMLSS is a general framework for fitting regression
                 type models where the distribution of the response
                 variable does not have to belong to the exponential
                 family and includes highly skew and kurtotic continuous
                 and discrete distribution. GAMLSS allows all the
                 parameters of the distribution of the response variable
                 to be modeled as linear/non-linear or smooth functions
                 of the explanatory variables. This paper starts by
                 defining the statistical framework of GAMLSS, then
                 describes the current implementation of GAMLSS in R and
                 finally gives four different data examples to
                 demonstrate how GAMLSS can be used for statistical
                 modelling.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-07-19; Accepted 2007-11-28",
  xxtitle =      "Generalized Additive Models for Location Scale and
                 Shape ({GAMLSS}) in R",
}

@Article{Zhao:2007:GGA,
  author =       "Jing Hua Zhao",
  title =        "\pkg{gap}: Genetic Analysis Package",
  journal =      j-J-STAT-SOFT,
  volume =       "23",
  number =       "8",
  pages =        "1--18",
  month =        dec,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v023.i08",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v23/i08",
  abstract =     "A preliminary attempt at collecting tools and
                 utilities for genetic data as an R package called
                 \pkg{gap} is described. Genomewide association is then
                 described as a specific example, linking the work of
                 Risch and Merikangas (1996), Long and Langley (1997)
                 for family-based and population-based studies, and the
                 counterpart for case-cohort design established by Cai
                 and Zeng (2004). Analysis of staged design as outlined
                 by Skol et al. (2006) and associate methods are
                 discussed. The package is flexible, customizable, and
                 should prove useful to researchers especially in its
                 application to genome-wide association studies.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-01-03; Accepted 2007-06-08",
  xxtitle =      "gap: Genetic Analysis Package",
}

@Article{Smith:2007:WSM,
  author =       "Michael K. Smith and Helen Richardson",
  title =        "{WinBUGSio}: a {SAS} Macro for the Remote Execution of
                 {WinBUGS}",
  journal =      j-J-STAT-SOFT,
  volume =       "23",
  number =       "9",
  pages =        "1--10",
  month =        dec,
  year =         "2007",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v023.i09",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/sas.bib",
  URL =          "http://www.jstatsoft.org/v23/i09",
  abstract =     "This is a macro which facilitates remote execution of
                 WinBUGS from within SAS. The macro pre-processes data
                 for WinBUGS, writes the WinBUGS batch-script, executes
                 this script and reads in output statistics from the
                 WinBUGS log-file back into SAS native format. The user
                 specifies the input and output file names and directory
                 path as well as the statistics to be monitored in
                 WinBUGS. The code works best for a model that has
                 already been set up and checked for convergence
                 diagnostics within WinBUGS. An obvious extension of the
                 use of this macro is for running simulations where the
                 input and output files all have the same name but all
                 that differs between simulation iterations is the input
                 dataset. The functionality and syntax of the macro call
                 are described in this paper and illustrated using a
                 simple linear regression model.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2005-12-16; Accepted 2007-09-07",
  xxtitle =      "{WinBUGSio}: A {SAS} Macro for the Remote Execution of
                 {WinBUGS}",
}

@Article{Crookston:2008:YRP,
  author =       "Nicholas L. Crookston and Andrew O. Finley",
  title =        "\pkg{yaImpute}: An {R} Package for {kNN} Imputation",
  journal =      j-J-STAT-SOFT,
  volume =       "23",
  number =       "10",
  pages =        "1--16",
  month =        jan,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v023.i10",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v23/i10",
  abstract =     "This article introduces \pkg{yaImpute}, an R package
                 for nearest neighbor search and imputation. Although
                 nearest neighbor imputation is used in a host of
                 disciplines, the methods implemented in the
                 \pkg{yaImpute} package are tailored to imputation-based
                 forest attribute estimation and mapping. The impetus to
                 writing the \pkg{yaImpute} is a growing interest in
                 nearest neighbor imputation methods for spatially
                 explicit forest inventory, and a need within this
                 research community for software that facilitates
                 comparison among different nearest neighbor search
                 algorithms and subsequent imputation techniques.
                 \pkg{yaImpute} provides directives for defining the
                 search space, subsequent distance calculation, and
                 imputation rules for a given number of nearest
                 neighbors. Further, the package offers a suite of
                 diagnostics for comparison among results generated from
                 different imputation analyses and a set of functions
                 for mapping imputation results.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-06-20; Accepted 2007-10-10",
  xxtitle =      "{yaImpute}: An R Package for k {NN} Imputation",
}

@Article{Freeman:2008:PRP,
  author =       "Elizabeth A. Freeman and Gretchen Moisen",
  title =        "\pkg{PresenceAbsence}: An {R} Package for Presence
                 Absence Analysis",
  journal =      j-J-STAT-SOFT,
  volume =       "23",
  number =       "11",
  pages =        "1--31",
  month =        jan,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v023.i11",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v23/i11",
  abstract =     "The \pkg{PresenceAbsence} package for R provides a set
                 of functions useful when evaluating the results of
                 presence-absence analysis, for example, models of
                 species distribution or the analysis of diagnostic
                 tests. The package provides a toolkit for selecting the
                 optimal threshold for translating a probability surface
                 into presence-absence maps specifically tailored to
                 their intended use. The package includes functions for
                 calculating threshold dependent measures such as
                 confusion matrices, percent correctly classified (PCC),
                 sensitivity, specificity, and Kappa, and produces plots
                 of each measure as the threshold is varied. It also
                 includes functions to plot the Receiver Operator
                 Characteristic (ROC) curve and calculates the
                 associated area under the curve (AUC), a threshold
                 independent measure of model quality. Finally, the
                 package computes optimal thresholds by multiple
                 criteria, and plots these optimized thresholds on the
                 graphs.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-04-19; Accepted 2008-01-08",
  xxtitle =      "{PresenceAbsence}: An R Package for Presence Absence
                 Analysis",
}

@Article{Gonzalez:2008:CRP,
  author =       "Ignacio Gonz{\'a}lez and S{\'e}bastien D{\'e}jean and
                 Pascal G. P. Martin and Alain Baccini",
  title =        "\pkg{CCA}: An {R} Package to Extend Canonical
                 Correlation Analysis",
  journal =      j-J-STAT-SOFT,
  volume =       "23",
  number =       "12",
  pages =        "1--14",
  month =        jan,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v023.i12",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v23/i12",
  abstract =     "Canonical correlations analysis (CCA) is an
                 exploratory statistical method to highlight
                 correlations between two data sets acquired on the same
                 experimental units. The {\tt cancor()} function in R (R
                 Development Core Team 2007) performs the core of
                 computations but further work was required to provide
                 the user with additional tools to facilitate the
                 interpretation of the results. We implemented an R
                 package, \pkg{CCA}, freely available from the
                 Comprehensive R Archive Network (CRAN,
                 \path=http://CRAN.R-project.org/=), to develop
                 numerical and graphical outputs and to enable the user
                 to handle missing values. The \pkg{CCA} package also
                 includes a regularized version of \pkg{CCA} to deal
                 with data sets with more variables than units.
                 Illustrations are given through the analysis of a data
                 set coming from a nutrigenomic study in the mouse.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-03-20; Accepted 2007-12-04",
  xxtitle =      "{CCA}: An R Package to Extend Canonical Correlation
                 Analysis",
}

@Article{Handcock:2008:SST,
  author =       "Mark S. Handcock and David R. Hunter and Carter T.
                 Butts and Steven M. Goodreau and Martina Morris",
  title =        "\pkg{statnet}: Software Tools for the Representation,
                 Visualization, Analysis and Simulation of Network
                 Data",
  journal =      j-J-STAT-SOFT,
  volume =       "24",
  number =       "1",
  pages =        "1--11",
  month =        may,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v024.i01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v24/i01",
  abstract =     "\pkg{statnet} is a suite of software packages for
                 statistical network analysis. The packages implement
                 recent advances in network modeling based on
                 exponential-family random graph models (ERGM). The
                 components of the package provide a comprehensive
                 framework for ERGM-based network modeling, including
                 tools for model estimation, model evaluation,
                 model-based network simulation, and network
                 visualization. This broad functionality is powered by a
                 central Markov chain Monte Carlo (MCMC) algorithm. The
                 coding is optimized for speed and robustness.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-06-01; Accepted 2007-12-25",
  xxtitle =      "statnet: Software Tools for the Representation,
                 Visualization, Analysis and Simulation of Network
                 Data",
}

@Article{Butts:2008:NPM,
  author =       "Carter T. Butts",
  title =        "\pkg{network}: a Package for Managing Relational Data
                 in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "24",
  number =       "2",
  pages =        "1--36",
  month =        may,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v024.i02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v24/i02",
  abstract =     "Effective memory structures for relational data within
                 R must be capable of representing a wide range of data
                 while keeping overhead to a minimum. The \pkg{network}
                 package provides a class which may be used for encoding
                 complex relational structures composed a vertex set
                 together with any combination of undirected/directed,
                 valued/unvalued, dyadic/hyper, and single/multiple
                 edges; storage requirements are on the order of the
                 number of edges involved. Some simple constructor,
                 interface, and visualization functions are provided, as
                 well as a set of operators to facilitate employment by
                 end users. The package also supports a C-language API,
                 which allows developers to work directly with
                 \pkg{network} objects within backend code.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-06-01; Accepted 2007-12-25",
  xxtitle =      "network: A Package for Managing Relational Data in R",
}

@Article{Hunter:2008:EPF,
  author =       "David R. Hunter and Mark S. Handcock and Carter T.
                 Butts and Steven M. Goodreau and Martina Morris",
  title =        "\pkg{ergm}: a Package to Fit, Simulate and Diagnose
                 Exponential-Family Models for Networks",
  journal =      j-J-STAT-SOFT,
  volume =       "24",
  number =       "3",
  pages =        "1--29",
  month =        may,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v024.i03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v24/i03",
  abstract =     "We describe some of the capabilities of the \pkg{ergm}
                 package and the statistical theory underlying it. This
                 package contains tools for accomplishing three
                 important, and inter-related, tasks involving
                 exponential-family random graph models (ERGMs):
                 estimation, simulation, and goodness of fit. More
                 precisely, \pkg{ergm} has the capability of
                 approximating a maximum likelihood estimator for an
                 ERGM given a network data set; simulating new network
                 data sets from a fitted ERGM using Markov chain Monte
                 Carlo; and assessing how well a fitted ERGM does at
                 capturing characteristics of a particular network data
                 set.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-06-01; Accepted 2007-12-25",
  xxtitle =      "ergm: A Package to Fit, Simulate and Diagnose
                 Exponential-Family Models for Networks",
}

@Article{Morris:2008:SEF,
  author =       "Martina Morris and Mark S. Handcock and David R.
                 Hunter",
  title =        "Specification of Exponential-Family Random Graph
                 Models: Terms and Computational Aspects",
  journal =      j-J-STAT-SOFT,
  volume =       "24",
  number =       "4",
  pages =        "1--24",
  month =        may,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v024.i04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v24/i04",
  abstract =     "Exponential-family random graph models (ERGMs)
                 represent the processes that govern the formation of
                 links in networks through the terms selected by the
                 user. The terms specify network statistics that are
                 sufficient to represent the probability distribution
                 over the space of networks of that size. Many classes
                 of statistics can be used. In this article we describe
                 the classes of statistics that are currently available
                 in the \pkg{ergm} package. We also describe means for
                 controlling the Markov chain Monte Carlo (MCMC)
                 algorithm that the package uses for estimation. These
                 controls affect either the proposal distribution on the
                 sample space used by the underlying
                 Metropolis--Hastings algorithm or the constraints on
                 the sample space itself. Finally, we describe various
                 other arguments to core functions of the \pkg{ergm}
                 package.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-06-01; Accepted 2007-12-25",
  xxtitle =      "Specification of Exponential-Family Random Graph
                 Models: Terms and Computational Aspects",
}

@Article{Krivitsky:2008:FLC,
  author =       "Pavel N. Krivitsky and Mark S. Handcock",
  title =        "Fitting Latent Cluster Models for Networks with
                 \pkg{latentnet}",
  journal =      j-J-STAT-SOFT,
  volume =       "24",
  number =       "5",
  pages =        "1--23",
  month =        may,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v024.i05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v24/i05",
  abstract =     "\pkg{latentnet} is a package to fit and evaluate
                 statistical latent position and cluster models for
                 networks. Hoff, Raftery, and Handcock (2002) suggested
                 an approach to modeling networks based on positing the
                 existence of a latent space of characteristics of the
                 actors. Relationships form as a function of distances
                 between these characteristics as well as functions of
                 observed dyadic level covariates. In \pkg{latentnet}
                 social distances are represented in a Euclidean space.
                 It also includes a variant of the extension of the
                 latent position model to allow for clustering of the
                 positions developed in Handcock, Raftery, and Tantrum
                 (2007).\par

                 The package implements Bayesian inference for the
                 models based on an Markov chain Monte Carlo algorithm.
                 It can also compute maximum likelihood estimates for
                 the latent position model and a two-stage maximum
                 likelihood method for the latent position cluster
                 model. For latent position cluster models, the package
                 provides a Bayesian way of assessing how many groups
                 there are, and thus whether or not there is any
                 clustering (since if the preferred number of groups is
                 1, there is little evidence for clustering). It also
                 estimates which cluster each actor belongs to. These
                 estimates are probabilistic, and provide the
                 probability of each actor belonging to each cluster. It
                 computes four types of point estimates for the
                 coefficients and positions: maximum likelihood
                 estimate, posterior mean, posterior mode and the
                 estimator which minimizes Kullback--Leibler divergence
                 from the posterior. You can assess the goodness-of-fit
                 of the model via posterior predictive checks. It has a
                 function to simulate networks from a latent position or
                 latent position cluster model.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-06-01; Accepted 2007-12-25",
  xxtitle =      "Fitting Position Latent Cluster Models for Social
                 Networks with latentnet",
}

@Article{Butts:2008:SNA,
  author =       "Carter T. Butts",
  title =        "Social Network Analysis with \pkg{sna}",
  journal =      j-J-STAT-SOFT,
  volume =       "24",
  number =       "6",
  pages =        "1--51",
  month =        may,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v024.i06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v24/i06",
  abstract =     "Modern social network analysis---the analysis of
                 relational data arising from social systems---is a
                 computationally intensive area of research. Here, we
                 provide an overview of a software package which
                 provides support for a range of network analytic
                 functionality within the R statistical computing
                 environment. General categories of currently supported
                 functionality are described, and brief examples of
                 package syntax and usage are shown.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-06-01; Accepted 2007-12-25",
  xxtitle =      "Social Network Analysis with sna",
}

@Article{Bender-deMol:2008:PPM,
  author =       "Skye Bender-deMoll and Martina Morris and James
                 Moody",
  title =        "Prototype Packages for Managing and Animating
                 Longitudinal Network Data: \pkg{dynamicnetwork} and
                 \pkg{rSoNIA}",
  journal =      j-J-STAT-SOFT,
  volume =       "24",
  number =       "7",
  pages =        "1--36",
  month =        may,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v024.i07",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v24/i07",
  abstract =     "Work with longitudinal network survey data and the
                 dynamic network outputs of the \pkg{statnet} ERGMs has
                 demonstrated the need for consistent frameworks and
                 data structures for expressing, storing, and
                 manipulating information about networks that change in
                 time. Motivated by our requirements for exchanging data
                 among researchers and various analysis and
                 visualization processes, we have created an R package
                 \pkg{dynamicnetwork} that builds upon previous work in
                 the network, \pkg{statnet} and \pkg{sna} packages and
                 provides a limited functional implementation. This
                 paper discusses design issues and considerations,
                 describes classes and forms of dynamic data, and works
                 through several examples to demonstrate the utility of
                 the package. The functionality of the \pkg{rSoNIA}
                 package that uses \pkg{dynamicnetwork} to exchange data
                 with the Social Network Image Animator (SoNIA) software
                 to create animated movies of changing networks from
                 within R is also demonstrated.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-06-01; Accepted 2007-12-25",
  xxtitle =      "Prototype Packages for Managing and Animating
                 Longitudinal Network Data: dynamicnetwork and
                 {rSoNIA}",
}

@Article{Admiraal:2008:NPS,
  author =       "Ryan Admiraal and Mark S. Handcock",
  title =        "\pkg{networksis}: a Package to Simulate Bipartite
                 Graphs with Fixed Marginals Through Sequential
                 Importance Sampling",
  journal =      j-J-STAT-SOFT,
  volume =       "24",
  number =       "8",
  pages =        "1--21",
  month =        may,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v024.i08",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v24/i08",
  abstract =     "The ability to simulate graphs with given properties
                 is important for the analysis of social networks.
                 Sequential importance sampling has been shown to be
                 particularly effective in estimating the number of
                 graphs adhering to fixed marginals and in estimating
                 the null distribution of graph statistics. This paper
                 describes the \pkg{networksis} package for R and how
                 its \pkg{simulate} and \pkg{simulate\_sis} functions
                 can be used to address both of these tasks as well as
                 generate initial graphs for Markov chain Monte Carlo
                 simulations.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-01-30; Accepted 2008-03-25",
  xxtitle =      "networksis: A Package to Simulate Bipartite Graphs
                 with Fixed Marginals Through Sequential Importance
                 Sampling",
}

@Article{Goodreau:2008:ST,
  author =       "Steven M. Goodreau and Mark S. Handcock and David R.
                 Hunter and Carter T. Butts and Martina Morris",
  title =        "A \pkg{statnet} Tutorial",
  journal =      j-J-STAT-SOFT,
  volume =       "24",
  number =       "9",
  pages =        "1--26",
  month =        may,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v024.i09",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:16 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v24/i09",
  abstract =     "The \pkg{statnet} suite of R packages contains a wide
                 range of functionality for the statistical analysis of
                 social networks, including the implementation of
                 exponential-family random graph (ERG) models. In this
                 paper we illustrate some of the functionality of
                 \pkg{statnet} through a tutorial analysis of a
                 friendship network of 1,461 adolescents.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-06-01; Accepted 2007-12-25",
  xxtitle =      "A statnet Tutorial",
}

@Article{Mair:2008:BRB,
  author =       "Patrick Mair",
  title =        "Book Review: {{\booktitle{Data Mining the Web:
                 Uncovering Patterns in Web Content, Structure, and
                 Usage}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "25",
  number =       "BR-1",
  pages =        "1--3",
  month =        may,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v025.b01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:17 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v25/b01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-04-30; Accepted 2008-04-30",
}

@Article{Grothendieck:2008:BRB,
  author =       "Gabor Grothendieck",
  title =        "Book Review: {{\booktitle{\pkg{lattice}: Multivariate
                 Data Visualization with R}}, Deepayan Sarkar,
                 Springer-Verlag, New York, NY, 2008. ISBN
                 978-0-387-75968-5. 268 pp. USD 54.95 (P).
                 \url{http://dsarkar.fhcrc.org/lattice/}}",
  journal =      j-J-STAT-SOFT,
  volume =       "25",
  number =       "BR-2",
  pages =        "1--3",
  month =        may,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v025.b02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:17 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v25/b02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-05-08; Accepted 2008-05-08",
}

@Article{deLeeuw:2008:BRB,
  author =       "Jan de Leeuw",
  title =        "Book Review: {{\booktitle{Matrix Algebra, A Matrix
                 Handbook for Statisticians}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "25",
  number =       "BR-3",
  pages =        "1--3",
  month =        may,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v025.b03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:17 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v25/b03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-05-27; Accepted 2008-05-27",
}

@Article{Peng:2008:CSM,
  author =       "Roger Peng",
  title =        "Code Snippet: a Method for Visualizing Multivariate
                 Time Series Data",
  journal =      j-J-STAT-SOFT,
  volume =       "25",
  number =       "CS-1",
  pages =        "1--17",
  month =        mar,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v025.c01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:17 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v25/c01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-01-15; Accepted 2008-02-25",
}

@Article{Rosenblad:2008:SRG,
  author =       "Andreas Rosenblad",
  title =        "Software Review: {{\em gret1 1.7.3}}",
  journal =      j-J-STAT-SOFT,
  volume =       "25",
  number =       "SR-1",
  pages =        "1--14",
  month =        mar,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v025.s01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:17 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v25/s01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-03-26; Accepted 2008-03-31",
}

@Article{Le:2008:FRP,
  author =       "S{\'e}bastien L{\^e} and Julie Josse and
                 Fran{\c{c}}ois Husson",
  title =        "\pkg{FactoMineR}: An {R} Package for Multivariate
                 Analysis",
  journal =      j-J-STAT-SOFT,
  volume =       "25",
  number =       "1",
  pages =        "1--18",
  month =        mar,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v025.i01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:17 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v25/i01",
  abstract =     "In this article, we present \pkg{FactoMineR} an R
                 package dedicated to multivariate data analysis. The
                 main features of this package is the possibility to
                 take into account different types of variables
                 (quantitative or categorical), different types of
                 structure on the data (a partition on the variables, a
                 hierarchy on the variables, a partition on the
                 individuals) and finally supplementary information
                 (supplementary individuals and variables). Moreover,
                 the dimensions issued from the different exploratory
                 data analyses can be automatically described by
                 quantitative and/or categorical variables. Numerous
                 graphics are also available with various options.
                 Finally, a graphical user interface is implemented
                 within the \pkg{Rcmdr} environment in order to propose
                 an user friendly package.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-04-05; Accepted 2008-01-09",
  xxtitle =      "{FactoMineR}: An R Package for Multivariate Analysis",
}

@Article{Knoblauch:2008:MML,
  author =       "Kenneth Knoblauch and Laurence T. Maloney",
  title =        "{MLDS}: Maximum Likelihood Difference Scaling in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "25",
  number =       "2",
  pages =        "1--26",
  month =        mar,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v025.i02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:17 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v25/i02",
  abstract =     "The \pkg{MLDS} package in the R programming language
                 can be used to estimate perceptual scales based on the
                 results of psychophysical experiments using the method
                 of difference scaling. In a difference scaling
                 experiment, observers compare two supra-threshold
                 differences (a,b) and (c,d) on each trial. The approach
                 is based on a stochastic model of how the observer
                 decides which perceptual difference (or interval) (a,b)
                 or (c,d) is greater, and the parameters of the model
                 are estimated using a maximum likelihood criterion. We
                 also propose a method to test the model by evaluating
                 the self-consistency of the estimated scale. The
                 package includes an example in which an observer judges
                 the differences in correlation between scatterplots.
                 The example may be readily adapted to estimate
                 perceptual scales for arbitrary physical continua.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-04-17; Accepted 2008-01-09",
  xxtitle =      "{MLDS}: Maximum Likelihood Difference Scaling in R",
}

@Article{Hahsler:2008:GTO,
  author =       "Michael Hahsler and Kurt Hornik and Christian Buchta",
  title =        "Getting Things in Order: An Introduction to the {R}
                 Package \pkg{seriation}",
  journal =      j-J-STAT-SOFT,
  volume =       "25",
  number =       "3",
  pages =        "1--34",
  month =        mar,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v025.i03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:17 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v25/i03",
  abstract =     "Seriation, i.e., finding a suitable linear order for a
                 set of objects given data and a loss or merit function,
                 is a basic problem in data analysis. Caused by the
                 problem's combinatorial nature, it is hard to solve for
                 all but very small sets. Nevertheless, both exact
                 solution methods and heuristics are available. In this
                 paper we present the package \pkg{seriation} which
                 provides an infrastructure for seriation with R. The
                 infrastructure comprises data structures to represent
                 linear orders as permutation vectors, a wide array of
                 seriation methods using a consistent interface, a
                 method to calculate the value of various loss and merit
                 functions, and several visualization techniques which
                 build on \pkg{seriation}. To illustrate how easily the
                 package can be applied for a variety of applications, a
                 comprehensive collection of examples is presented.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-09-11; Accepted 2008-02-05",
  xxtitle =      "Getting Things in Order: An Introduction to the R
                 Package seriation",
}

@Article{Brock:2008:CRP,
  author =       "Guy Brock and Vasyl Pihur and Susmita Datta and
                 Somnath Datta",
  title =        "\pkg{clValid}: An {R} Package for Cluster Validation",
  journal =      j-J-STAT-SOFT,
  volume =       "25",
  number =       "4",
  pages =        "1--22",
  month =        mar,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v025.i04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:17 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v25/i04",
  abstract =     "The R package \pkg{clValid} contains functions for
                 validating the results of a clustering analysis. There
                 are three main types of cluster validation measures
                 available, ``internal'', ``stability'', and
                 ``biological''. The user can choose from nine
                 clustering algorithms in existing R packages, including
                 hierarchical, K-means, self-organizing maps (SOM), and
                 model-based clustering. In addition, we provide a
                 function to perform the self-organizing tree algorithm
                 (SOTA) method of clustering. Any combination of
                 validation measures and clustering methods can be
                 requested in a single function call. This allows the
                 user to simultaneously evaluate several clustering
                 algorithms while varying the number of clusters, to
                 help determine the most appropriate method and number
                 of clusters for the dataset of interest. Additionally,
                 the package can automatically make use of the
                 biological information contained in the Gene Ontology
                 (GO) database to calculate the biological validation
                 measures, via the annotation packages available in
                 Bioconductor. The function returns an object of S4
                 class ``\pkg{clValid}'', which has summary, plot,
                 print, and additional methods which allow the user to
                 display the optimal validation scores and extract
                 clustering results.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-04-03; Accepted 2008-01-22",
  xxtitle =      "{clValid}: An R Package for Cluster Validation",
}

@Article{Feinerer:2008:TMI,
  author =       "Ingo Feinerer and Kurt Hornik and David Meyer",
  title =        "Text Mining Infrastructure in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "25",
  number =       "5",
  pages =        "1--54",
  month =        mar,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v025.i05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:17 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v25/i05",
  abstract =     "During the last decade text mining has become a widely
                 used discipline utilizing statistical and machine
                 learning methods. We present the \pkg{tm} package which
                 provides a framework for text mining applications
                 within R. We give a survey on text mining facilities in
                 R and explain how typical application tasks can be
                 carried out using our framework. We present techniques
                 for count-based analysis methods, text clustering, text
                 classification and string kernels.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-09-05; Accepted 2008-02-10",
  xxtitle =      "Text Mining Infrastructure in R",
}

@Article{Johnson:2008:SIS,
  author =       "Kjell Johnson and Abhyuday Mandal and Tan Ding",
  title =        "Software for Implementing the Sequential Elimination
                 of Level Combinations Algorithm",
  journal =      j-J-STAT-SOFT,
  volume =       "25",
  number =       "6",
  pages =        "1--13",
  month =        mar,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v025.i06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:17 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v25/i06",
  abstract =     "Genetic algorithms (GAs) are a popular technology to
                 search for an optimum in a large search space. Using
                 new concepts of forbidden array and weighted mutation,
                 Mandal, Wu, and Johnson (2006) used elements of GAs to
                 introduce a new global optimization technique called
                 sequential elimination of level combinations (SELC),
                 that efficiently finds optima. A SAS macro, and MATLAB
                 and R functions are developed to implement the SELC
                 algorithm.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-08-23; Accepted 2008-02-24",
  xxtitle =      "Software for Implementing the Sequential Elimination
                 of Level Combinations Algorithm",
}

@Article{Dutang:2008:ARP,
  author =       "Christophe Dutang and Vincent Goulet and Mathieu
                 Pigeon",
  title =        "\pkg{actuar}: An {R} Package for Actuarial Science",
  journal =      j-J-STAT-SOFT,
  volume =       "25",
  number =       "7",
  pages =        "1--37",
  month =        mar,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v025.i07",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:17 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v25/i07",
  abstract =     "\pkg{actuar} is a package providing additional
                 Actuarial Science functionality to the R statistical
                 system. The project was launched in 2005 and the
                 package is available on the Comprehensive R Archive
                 Network since February 2006. The current version of the
                 package contains functions for use in the fields of
                 loss distributions modeling, risk theory (including
                 ruin theory), simulation of compound hierarchical
                 models and credibility theory. This paper presents in
                 detail but with few technical terms the most recent
                 version of the package.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-11-16; Accepted 2008-02-14",
  xxtitle =      "actuar: An R Package for Actuarial Science",
}

@Article{Sheng:2008:MPMa,
  author =       "Yanyan Sheng",
  title =        "{Markov} Chain {Monte Carlo} Estimation of Normal
                 {Ogive} {IRT} Models in {MATLAB}",
  journal =      j-J-STAT-SOFT,
  volume =       "25",
  number =       "8",
  pages =        "1--15",
  month =        apr,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v025.i08",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:17 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/matlab.bib",
  URL =          "http://www.jstatsoft.org/v25/i08",
  abstract =     "Modeling the interaction between persons and items at
                 the item level for binary response data, item response
                 theory (IRT) models have been found useful in a wide
                 variety of applications in various fields. This paper
                 provides the requisite information and description of
                 software that implements the Gibbs sampling procedures
                 for the one-, two- and three-parameter normal ogive
                 models. The software developed is written in the MATLAB
                 package IRTuno. The package is flexible enough to allow
                 a user the choice to simulate binary response data, set
                 the number of total or burn-in iterations, specify
                 starting values or prior distributions for model
                 parameters, check convergence of the Markov chain, and
                 obtain Bayesian fit statistics. Illustrative examples
                 are provided to demonstrate and validate the use of the
                 software package. The m-file v25i08.m is also provided
                 as a guide for the user of the MCMC algorithms with the
                 three dichotomous IRT models.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-09-05; Accepted 2008-03-27",
  xxtitle =      "Markov Chain Monte Carlo Estimation of Normal Ogive
                 {IRT} Models in {MATLAB}",
}

@Article{Lawrence:2008:EME,
  author =       "Michael Lawrence and Dianne Cook and Eun-Kyung Lee and
                 Heather Babka and Eve Syrkin Wurtele",
  title =        "\pkg{explorase}: Multivariate Exploratory Analysis and
                 Visualization for Systems Biology",
  journal =      j-J-STAT-SOFT,
  volume =       "25",
  number =       "9",
  pages =        "1--23",
  month =        apr,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v025.i09",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:17 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v25/i09",
  abstract =     "The datasets being produced by high-throughput
                 biological experiments, such as microarrays, have
                 forced biologists to turn to sophisticated statistical
                 analysis and visualization tools in order to understand
                 their data. We address the particular need for an
                 open-source exploratory data analysis tool that applies
                 numerical methods in coordination with interactive
                 graphics to the analysis of experimental data. The
                 software package, known as \pkg{explorase}, provides a
                 graphical user interface (GUI) on top of the R platform
                 for statistical computing and the GGobi software for
                 multivariate interactive graphics. The GUI is designed
                 for use by biologists, many of whom are unfamiliar with
                 the R language. It displays metadata about experimental
                 design and biological entities in tables that are
                 sortable and filterable. There are menu shortcuts to
                 the analysis methods implemented in R, including
                 graphical interfaces to linear modeling tools. The GUI
                 is linked to data plots in GGobi through a brush tool
                 that simultaneously colors rows in the entity
                 information table and points in the GGobi plots.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-01-31; Accepted 2008-03-29",
  xxtitle =      "explorase: Multivariate Exploratory Analysis and
                 Visualization for Systems Biology",
}

@Article{Smith:2008:UGM,
  author =       "Brian J. Smith and Jun Yan and Mary Kathryn Cowles",
  title =        "Unified Geostatistical Modeling for Data Fusion and
                 Spatial Heteroskedasticity with {R} Package
                 \pkg{ramps}",
  journal =      j-J-STAT-SOFT,
  volume =       "25",
  number =       "10",
  pages =        "1--21",
  month =        apr,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v025.i10",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:17 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v25/i10",
  abstract =     "This article illustrates usage of the \pkg{ramps} R
                 package, which implements the reparameterized and
                 marginalized posterior sampling (RAMPS) algorithm for
                 complex Bayesian geostatistical models. The RAMPS
                 methodology allows joint modeling of areal and
                 point-source data arising from the same underlying
                 spatial process. A reparametrization of variance
                 parameters facilitates slice sampling based on
                 simplexes, which can be useful in general when multiple
                 variances are present. Prediction at arbitrary points
                 can be made, which is critical in applications where
                 maps are needed. Our implementation takes advantage of
                 sparse matrix operations in the Matrix package and can
                 provide substantial savings in computing time for large
                 datasets. A user-friendly interface, similar to the
                 \pkg{nlme} mixed effects models package, enables users
                 to analyze datasets with little programming effort.
                 Support is provided for numerous spatial and
                 spatiotemporal correlation structures, user-defined
                 correlation structures, and non-spatial random effects.
                 The package features are illustrated via a synthetic
                 dataset of spatially correlated observation distributed
                 across the state of Iowa, USA.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-12-17; Accepted 2008-03-26",
  xxtitle =      "Unified Geostatistical Modeling for Data Fusion and
                 Spatial Heteroskedasticity with R Package ramps",
}

@Article{Iacus:2008:IMF,
  author =       "Stefano M. Iacus and Giuseppe Porro",
  title =        "Invariant and Metric Free Proximities for Data
                 Matching: An {R} Package",
  journal =      j-J-STAT-SOFT,
  volume =       "25",
  number =       "11",
  pages =        "1--22",
  month =        apr,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v025.i11",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:17 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v25/i11",
  abstract =     "Data matching is a typical statistical problem in non
                 experimental and/or observational studies or, more
                 generally, in cross-sectional studies in which one or
                 more data sets are to be compared. Several methods are
                 available in the literature, most of which based on a
                 particular metric or on statistical models, either
                 parametric or nonparametric. In this paper we present
                 two methods to calculate a proximity which have the
                 property of being invariant under monotonic
                 transformations. These methods require at most the
                 notion of ordering. An open-source software in the form
                 of a R package is also presented.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-03-19; Accepted 2008-03-31",
  remark =       "Describes package \pkg{rrp}.",
  xxtitle =      "Invariant and Metric Free Proximities for Data
                 Matching: An R Package",
}

@Article{Pineda-Krch:2008:GIG,
  author =       "Mario Pineda-Krch",
  title =        "\pkg{GillespieSSA}: Implementing the {Gillespie}
                 Stochastic Simulation Algorithm in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "25",
  number =       "12",
  pages =        "1--18",
  month =        apr,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v025.i12",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:17 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v25/i12",
  abstract =     "The deterministic dynamics of populations in
                 continuous time are traditionally described using
                 coupled, first-order ordinary differential equations.
                 While this approach is accurate for large systems, it
                 is often inadequate for small systems where key species
                 may be present in small numbers or where key reactions
                 occur at a low rate. The Gillespie stochastic
                 simulation algorithm (SSA) is a procedure for
                 generating time-evolution trajectories of finite
                 populations in continuous time and has become the
                 standard algorithm for these types of stochastic
                 models. This article presents a simple-to-use and
                 flexible framework for implementing the SSA using the
                 high-level statistical computing language R and the
                 package \pkg{GillespieSSA}. Using three ecological
                 models as examples (logistic growth,
                 Rosenzweig-MacArthur predator-prey model, and
                 Kermack-McKendrick SIRS metapopulation model), this
                 paper shows how a deterministic model can be formulated
                 as a finite-population stochastic model within the
                 framework of SSA theory and how it can be implemented
                 in R. Simulations of the stochastic models are
                 performed using four different SSA Monte Carlo methods:
                 one exact method (Gillespie's direct method); and three
                 approximate methods (explicit, binomial, and optimized
                 tau-leap methods). Comparison of simulation results
                 confirms that while the time-evolution trajectories
                 obtained from the different SSA methods are
                 indistinguishable, the approximate methods are up to
                 four orders of magnitude faster than the exact
                 methods.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-10-19; Accepted 2008-02-01",
  xxtitle =      "{GillespieSSA}: Implementing the Stochastic Simulation
                 Algorithm in R",
}

@Article{Lawson:2008:SMA,
  author =       "John Lawson",
  title =        "{SAS} Macros for Analysis of Unreplicated $ 2^k $ and
                 $ 2^{k - p} $ Designs with a Possible Outlier",
  journal =      j-J-STAT-SOFT,
  volume =       "25",
  number =       "13",
  pages =        "1--17",
  month =        may,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v025.i13",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:17 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/sas.bib",
  URL =          "http://www.jstatsoft.org/v25/i13",
  abstract =     "Many techniques have been proposed for judging the
                 significance of effects in unreplicated $ 2^k $ and $
                 2^{k - p} $ designs. However, relatively few methods
                 have been proposed for analyzing unreplicated designs
                 with possible outliers. Outliers can be a major
                 impediment to valid interpretation of data from
                 unreplicated designs. This paper presents SAS macros
                 which automate a manual method for detecting an outlier
                 and performing an analysis of data from an unreplicated
                 $ 2^k $ or $ 2^{k - p} $ design when an outlier is
                 present. This method was originally suggested by
                 Cuthbert Daniel and is based on the normal or half
                 normal plot of effects. This automated version was
                 shown in simulation studies to perform better than
                 other procedures proposed to do the same thing.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-09-17; Accepted 2008-03-22",
  xxtitle =      "{SAS} Macros for Analysis of Unreplicated 2 k and 2 k
                 - p Designs with a Possible Outlier",
}

@Article{Ratcliffe:2008:GMT,
  author =       "Sarah J. Ratcliffe and Justine Shults",
  title =        "{GEEQBOX}: a {MATLAB} Toolbox for Generalized
                 Estimating Equations and Quasi-Least Squares",
  journal =      j-J-STAT-SOFT,
  volume =       "25",
  number =       "14",
  pages =        "1--14",
  month =        may,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v025.i14",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:17 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/matlab.bib",
  URL =          "http://www.jstatsoft.org/v25/i14",
  abstract =     "The GEEQBOX toolbox analyzes correlated data via the
                 method of generalized estimating equations (GEE) and
                 quasi-least squares (QLS), an approach based on GEE
                 that overcomes some limitations of GEE that have been
                 noted in the literature. GEEQBOX is currently able to
                 handle correlated data that follows a normal, Bernoulli
                 or Poisson distribution, and that is assumed to have an
                 AR(1), Markov, tri-diagonal, equicorrelated,
                 unstructured or working independence correlation
                 structure. This toolbox is for use with MATLAB.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-04-13; Accepted 2008-03-28",
  xxtitle =      "{GEEQBOX}: A {MATLAB} Toolbox for Generalized
                 Estimating Equations and Quasi-Least Squares",
}

@Article{Wickham:2008:BRBa,
  author =       "Hadley Wickham",
  title =        "Book Review: {{\booktitle{Data Manipulation with
                 R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "26",
  number =       "BR-1",
  pages =        "1--2",
  month =        jun,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v026.b01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:17 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v26/b01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-06-16; Accepted 2008-06-16",
}

@Article{Wallstrom:2008:IBA,
  author =       "Garrick Wallstrom and Jeffrey Liebner and Robert E.
                 Kass",
  title =        "An Implementation of {Bayesian} Adaptive Regression
                 Splines ({BARS}) in {C} with {S} and {R} Wrappers",
  journal =      j-J-STAT-SOFT,
  volume =       "26",
  number =       "1",
  pages =        "1--21",
  month =        jun,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v026.i01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:17 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v26/i01",
  abstract =     ">BARS (DiMatteo, Genovese, and Kass 2001) uses the
                 powerful reversible-jump MCMC engine to perform
                 spline-based generalized nonparametric regression. It
                 has been shown to work well in terms of having small
                 mean-squared error in many examples (smaller than known
                 competitors), as well as producing visually-appealing
                 fits that are smooth (filtering out high-frequency
                 noise) while adapting to sudden changes (retaining
                 high-frequency signal). However, BARS is
                 computationally intensive. The original implementation
                 in \pkg{S} was too slow to be practical in certain
                 situations, and was found to handle some data sets
                 incorrectly. We have implemented BARS in \pkg{C} for
                 the normal and Poisson cases, the latter being
                 important in neurophysiological and other point-process
                 applications. The \pkg{C} implementation includes all
                 needed subroutines for fitting Poisson regression,
                 manipulating B-splines (using code created by Bates and
                 Venables), and finding starting values for Poisson
                 regression (using code for density estimation created
                 by Kooperberg). The code utilizes only freely-available
                 external libraries ({\bf LAPACK} and {\bf BLAS}) and is
                 otherwise self-contained. We have also provided
                 wrappers so that BARS can be used easily within \pkg{S}
                 or \pkg{R}.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2004-06-25; Accepted 2007-02-20",
  xxtitle =      "An Implementation of Bayesian Adaptive Regression
                 Splines ({BARS}) in C with S and R Wrappers",
}

@Article{Brown:2008:RAM,
  author =       "J. Randall Brown and Milton E. Harvey",
  title =        "Rational Arithmetic {Mathematica} Functions to
                 Evaluate the Two-Sided One Sample {K-S} Cumulative
                 Sampling Distribution",
  journal =      j-J-STAT-SOFT,
  volume =       "26",
  number =       "2",
  pages =        "1--40",
  month =        jun,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v026.i02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:17 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/mathematica.bib",
  URL =          "http://www.jstatsoft.org/v26/i02",
  abstract =     "One of the most widely used goodness-of-fit tests is
                 the two-sided one sample Kolmogorov--Smirnov (K-S) test
                 which has been implemented by many computer statistical
                 software packages. To calculate a two-sided p value
                 (evaluate the cumulative sampling distribution), these
                 packages use various methods including recursion
                 formulae, limiting distributions, and approximations of
                 unknown accuracy developed over thirty years ago. Based
                 on an extensive literature search for the two-sided one
                 sample K-S test, this paper identifies an exact formula
                 for sample sizes up to 31, six recursion formulae, and
                 one matrix formula that can be used to calculate a p
                 value. To ensure accurate calculation by avoiding
                 catastrophic cancellation and eliminating rounding
                 error, each of these formulae is implemented in
                 rational arithmetic. For the six recursion formulae and
                 the matrix formula, computational experience for sample
                 sizes up to 500 shows that computational times are
                 increasing functions of both the sample size and the
                 number of digits in the numerator and denominator
                 integers of the rational number test statistic. The
                 computational times of the seven formulae vary
                 immensely but the Durbin recursion formula is almost
                 always the fastest. Linear search is used to calculate
                 the inverse of the cumulative sampling distribution
                 (find the confidence interval half-width) and tables of
                 calculated half-widths are presented for sample sizes
                 up to 500. Using calculated half-widths as input,
                 computational times for the fastest formula, the Durbin
                 recursion formula, are given for sample sizes up to two
                 thousand.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-05-23; Accepted 2007-06-25",
  xxtitle =      "Rational Arithmetic Mathematica Functions to Evaluate
                 the Two-Sided One Sample K-S Cumulative Sampling
                 Distribution",
}

@Article{Brown:2008:APM,
  author =       "J. Randall Brown and Milton E. Harvey",
  title =        "Arbitrary Precision {Mathematica} Functions to
                 Evaluate the One-Sided One Sample {K-S} Cumulative
                 Sampling Distribution",
  journal =      j-J-STAT-SOFT,
  volume =       "26",
  number =       "3",
  pages =        "1--55",
  month =        jun,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v026.i03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:17 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/mathematica.bib",
  URL =          "http://www.jstatsoft.org/v26/i03",
  abstract =     "Efficient rational arithmetic methods that can exactly
                 evaluate the cumulative sampling distribution of the
                 one-sided one sample Kolmogorov--Smirnov (K-S) test
                 have been developed by Brown and Harvey (2007) for
                 sample sizes n up to fifty thousand. This paper
                 implements in arbitrary precision the same 13 formulae
                 to evaluate the one-sided one sample K-S cumulative
                 sampling distribution. Computational experience
                 identifies the fastest implementation which is then
                 used to calculate confidence interval bandwidths and p
                 values for sample sizes up to ten million.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-09-03; Accepted 2008-04-03",
  xxtitle =      "Arbitrary Precision Mathematica Functions to Evaluate
                 the One-Sided One Sample K-S Cumulative Sampling
                 Distribution",
}

@Article{Leiva:2008:RPG,
  author =       "V{\'\i}ctor Leiva and Hugo Hern{\'a}ndez and Antonio
                 Sanhueza",
  title =        "An {R} Package for a General Class of Inverse
                 {Gaussian} Distributions",
  journal =      j-J-STAT-SOFT,
  volume =       "26",
  number =       "4",
  pages =        "1--21",
  month =        jun,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v026.i04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:17 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v26/i04",
  abstract =     "The inverse Gaussian distribution is a positively
                 skewed probability model that has received great
                 attention in the last 20 years. Recently, a family that
                 generalizes this model called inverse Gaussian type
                 distributions has been developed. The new R package
                 named \pkg{ig} has been designed to analyze data from
                 inverse Gaussian type distributions. This package
                 contains basic probabilistic functions, lifetime
                 indicators and a random number generator from this
                 model. Also, parameter estimates and diagnostics
                 analysis can be obtained using likelihood methods by
                 means of this package. In addition, goodness-of-fit
                 methods are implemented in order to detect the
                 suitability of the model to the data. The capabilities
                 and features of the \pkg{ig} package are illustrated
                 using simulated and real data sets. Furthermore, some
                 new results related to the inverse Gaussian type
                 distribution are also obtained. Moreover, a simulation
                 study is conducted for evaluating the estimation method
                 implemented in the \pkg{ig} package.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-09-13; Accepted 2008-03-31",
  remark =       "Describes package \pkg{ig}.",
  xxtitle =      "An R Package for a General Class of Inverse Gaussian
                 Distributions",
}

@Article{Wheeler:2008:MAS,
  author =       "Matthew W. Wheeler and A. John Bailer",
  title =        "Model Averaging Software for Dichotomous Dose Response
                 Risk Estimation",
  journal =      j-J-STAT-SOFT,
  volume =       "26",
  number =       "5",
  pages =        "1--15",
  month =        jun,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v026.i05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri Jul 4 10:54:17 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v26/i05",
  abstract =     "Model averaging has been shown to be a useful method
                 for incorporating model uncertainty in quantitative
                 risk estimation. In certain circumstances this
                 technique is computationally complex, requiring
                 sophisticated software to carry out the computation. We
                 introduce software that implements model averaging for
                 risk assessment based upon dichotomous dose-response
                 data. This software, which we call Model Averaging for
                 Dichotomous Response Benchmark Dose ({\bf MADr-BMD}),
                 fits the quantal response models, which are also used
                 in the US Environmental Protection Agency benchmark
                 dose software suite, and generates a model-averaged
                 dose response model to generate benchmark dose and
                 benchmark dose lower bound estimates. The software
                 fulfills a need for risk assessors, allowing them to go
                 beyond one single model in their risk assessments based
                 on quantal data by focusing on a set of models that
                 describes the experimental data.",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-04-20; Accepted 2008-02-04",
  xxtitle =      "Model Averaging Software for Dichotomous Dose Response
                 Risk Estimation",
}

@Article{Kiermeier:2008:VAA,
  author =       "Andreas Kiermeier",
  title =        "Visualizing and Assessing Acceptance Sampling Plans:
                 The {R} Package \pkg{AcceptanceSampling}",
  journal =      j-J-STAT-SOFT,
  volume =       "26",
  number =       "6",
  pages =        "??--??",
  month =        jul,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v026.i06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:40 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v26/i06",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-06-29; Accepted 2008-06-24",
  xxtitle =      "Visualizing and Assessing Acceptance Sampling Plans:
                 The R Package {AcceptanceSampling}",
}

@Article{Peng:2008:CDS,
  author =       "Roger D. Peng",
  title =        "Caching and Distributing Statistical Analyses in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "26",
  number =       "7",
  pages =        "??--??",
  month =        jul,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v026.i07",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:40 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v26/i07",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-10-26; Accepted 2008-07-10",
  xxtitle =      "Caching and Distributing Statistical Analyses in R",
}

@Article{Zeileis:2008:ERP,
  author =       "Achim Zeileis and Roger Koenker",
  title =        "Econometrics in {R}: Past, Present, and Future",
  journal =      j-J-STAT-SOFT,
  volume =       "27",
  number =       "1",
  pages =        "??--??",
  month =        jul,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v027.i01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:40 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v27/i01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-07-22; Accepted 2008-07-22",
  xxtitle =      "Econometrics in R: Past, Present, and Future",
}

@Article{Croissant:2008:PDE,
  author =       "Yves Croissant and Giovanni Millo",
  title =        "Panel Data Econometrics in {R}: The \pkg{plm}
                 Package",
  journal =      j-J-STAT-SOFT,
  volume =       "27",
  number =       "2",
  pages =        "??--??",
  month =        jul,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v027.i02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:40 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v27/i02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-06-06; Accepted 2008-03-20",
  xxtitle =      "Panel Data Econometrics in R: The plm Package",
}

@Article{Hyndman:2008:ATS,
  author =       "Rob J. Hyndman and Yeasmin Khandakar",
  title =        "Automatic Time Series Forecasting: The \pkg{forecast}
                 Package for {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "27",
  number =       "3",
  pages =        "??--??",
  month =        jul,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v027.i03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:40 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v27/i03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-05-29; Accepted 2008-03-22",
  xxtitle =      "Automatic Time Series Forecasting: The forecast
                 Package for R",
}

@Article{Pfaff:2008:VSS,
  author =       "Bernhard Pfaff",
  title =        "{VAR}, {SVAR} and {SVEC} Models: Implementation Within
                 {R} Package \pkg{vars}",
  journal =      j-J-STAT-SOFT,
  volume =       "27",
  number =       "4",
  pages =        "??--??",
  month =        jul,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v027.i04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:40 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v27/i04",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-05-07; Accepted 2008-02-19",
  xxtitle =      "{VAR}, {SVAR} and {SVEC} Models: Implementation Within
                 R Package vars",
}

@Article{Hayfield:2008:NEN,
  author =       "Tristen Hayfield and Jeffrey S. Racine",
  title =        "Nonparametric Econometrics: The \pkg{np} Package",
  journal =      j-J-STAT-SOFT,
  volume =       "27",
  number =       "5",
  pages =        "??--??",
  month =        jul,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v027.i05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:40 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v27/i05",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-04-30; Accepted 2008-07-22",
  xxtitle =      "Nonparametric Econometrics: The np Package",
}

@Article{Koenker:2008:CQR,
  author =       "Roger Koenker",
  title =        "Censored Quantile Regression Redux",
  journal =      j-J-STAT-SOFT,
  volume =       "27",
  number =       "6",
  pages =        "??--??",
  month =        jul,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v027.i06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:40 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v27/i06",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-02-20; Accepted 2008-05-26",
  xxtitle =      "Censored Quantile Regression Redux",
}

@Article{Toomet:2008:SSM,
  author =       "Ott Toomet and Arne Henningsen",
  title =        "Sample Selection Models in {R}: Package
                 \pkg{sampleSelection}",
  journal =      j-J-STAT-SOFT,
  volume =       "27",
  number =       "7",
  pages =        "??--??",
  month =        jul,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v027.i07",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:40 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v27/i07",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-05-01; Accepted 2008-06-06",
  xxtitle =      "Sample Selection Models in R: Package
                 {sampleSelection}",
}

@Article{Zeileis:2008:RMC,
  author =       "Achim Zeileis and Christian Kleiber and Simon
                 Jackman",
  title =        "Regression Models for Count Data in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "27",
  number =       "8",
  pages =        "??--??",
  month =        jul,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v027.i08",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:40 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v27/i08",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-05-04; Accepted 2008-06-06",
  xxtitle =      "Regression Models for Count Data in R",
}

@Article{Hartmann:2008:BRB,
  author =       "Wolfgang M. Hartmann",
  title =        "Book Review: {{\booktitle{SAS for Data Analysis:
                 Intermediate Statistical Methods}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "28",
  number =       "BR-1",
  pages =        "??--??",
  month =        oct,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v028.b01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/sas.bib",
  URL =          "http://www.jstatsoft.org/v28/b01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-10-26; Accepted 2008-10-26",
}

@Article{Schmidberger:2008:BRB,
  author =       "Markus Schmidberger",
  title =        "Book Review: {{\booktitle{Introduction to Machine
                 Learning and Bioinformatics}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "28",
  number =       "BR-2",
  pages =        "??--??",
  month =        nov,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v028.b02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v28/b02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-11-04; Accepted 2008-11-04",
}

@Article{Wickham:2008:BRBb,
  author =       "Hadley Wickham",
  title =        "Book Review: {{\booktitle{A First Course in
                 Statistical Programming with R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "28",
  number =       "BR-3",
  pages =        "??--??",
  month =        dec,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v028.b03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v28/b03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-12-09; Accepted 2008-12-09",
}

@Article{Kampstra:2008:CSB,
  author =       "Peter Kampstra",
  title =        "Code Snippet: \pkg{Beanplot}: a Boxplot Alternative
                 for Visual Comparison of Distributions",
  journal =      j-J-STAT-SOFT,
  volume =       "28",
  number =       "CS-1",
  pages =        "??--??",
  month =        nov,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v028.c01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v28/c01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-09-19; Accepted 2008-10-28",
}

@Article{Feng:2008:CDI,
  author =       "Dai Feng and Luke Tierney",
  title =        "Computing and Displaying Isosurfaces in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "28",
  number =       "1",
  pages =        "??--??",
  month =        sep,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v028.i01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v28/i01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-05-28; Accepted 2008-09-04",
  xxtitle =      "Computing and Displaying Isosurfaces in R",
}

@Article{McLeod:2008:ISA,
  author =       "A. Ian McLeod and Ying Zhang",
  title =        "Improved Subset Autoregression: With {R} Package",
  journal =      j-J-STAT-SOFT,
  volume =       "28",
  number =       "2",
  pages =        "??--??",
  month =        oct,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v028.i02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v28/i02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-08-26; Accepted 2008-07-03",
  xxtitle =      "Improved Subset Autoregression: With R Package",
}

@Article{Hui:2008:LRP,
  author =       "Wallace Hui and Yulia R. Gel and Joseph L. Gastwirth",
  title =        "\pkg{lawstat}: An {R} Package for Law, Public Policy
                 and Biostatistics",
  journal =      j-J-STAT-SOFT,
  volume =       "28",
  number =       "3",
  pages =        "??--??",
  month =        oct,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v028.i03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v28/i03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-11-12; Accepted 2008-01-11",
  xxtitle =      "lawstat: An R Package for Law, Public Policy and
                 Biostatistics",
}

@Article{Grun:2008:FVF,
  author =       "Bettina Gr{\"u}n and Friedrich Leisch",
  title =        "{FlexMix} Version 2: Finite Mixtures with Concomitant
                 Variables and Varying and Constant Parameters",
  journal =      j-J-STAT-SOFT,
  volume =       "28",
  number =       "4",
  pages =        "??--??",
  month =        oct,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v028.i04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v28/i04",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-01-11; Accepted 2008-09-19",
  xxtitle =      "{FlexMix} Version 2: Finite Mixtures with Concomitant
                 Variables and Varying and Constant Parameters",
}

@Article{Kuhn:2008:BPM,
  author =       "Max Kuhn",
  title =        "Building Predictive Models in {R} Using the
                 \pkg{caret} Package",
  journal =      j-J-STAT-SOFT,
  volume =       "28",
  number =       "5",
  pages =        "??--??",
  month =        nov,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v028.i05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v28/i05",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-04-22; Accepted 2008-08-18",
  xxtitle =      "Building Predictive Models in R Using the caret
                 Package",
}

@Article{Nordhausen:2008:TEM,
  author =       "Klaus Nordhausen and Hannu Oja and David E. Tyler",
  title =        "Tools for Exploring Multivariate Data: The Package
                 \pkg{ICS}",
  journal =      j-J-STAT-SOFT,
  volume =       "28",
  number =       "6",
  pages =        "??--??",
  month =        nov,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v028.i06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v28/i06",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-02-19; Accepted 2008-09-03",
  xxtitle =      "Tools for Exploring Multivariate Data: The Package
                 {ICS}",
}

@Article{Kairalla:2008:GSI,
  author =       "John A. Kairalla and Christopher S. Coffey and Keith
                 E. Muller",
  title =        "{GLUMIP 2.0}: {SAS\slash IML} Software for Planning
                 Internal Pilots",
  journal =      j-J-STAT-SOFT,
  volume =       "28",
  number =       "7",
  pages =        "??--??",
  month =        nov,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v028.i07",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/sas.bib",
  URL =          "http://www.jstatsoft.org/v28/i07",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-05-31; Accepted 2008-09-16",
  xxtitle =      "{GLUMIP} 2.0: {SAS}/{IML} Software for Planning
                 Internal Pilots",
}

@Article{Hothorn:2008:ICP,
  author =       "Torsten Hothorn and Kurt Hornik and Mark A. van de
                 Wiel and Achim Zeileis",
  title =        "Implementing a Class of Permutation Tests: The
                 \pkg{coin} Package",
  journal =      j-J-STAT-SOFT,
  volume =       "28",
  number =       "8",
  pages =        "??--??",
  month =        nov,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v028.i08",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v28/i08",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-07-05; Accepted 2008-10-21",
  xxtitle =      "Implementing a Class of Permutation Tests: The coin
                 Package",
}

@Article{Cao:2008:ORP,
  author =       "Kim-Anh L{\^e} Cao and Patrick Chabrier",
  title =        "\pkg{ofw}: An {R} Package to Select Continuous
                 Variables for Multiclass Classification with a
                 Stochastic Wrapper Method",
  journal =      j-J-STAT-SOFT,
  volume =       "28",
  number =       "9",
  pages =        "??--??",
  month =        nov,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v028.i09",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v28/i09",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-02-13; Accepted 2008-07-25",
  xxtitle =      "ofw: An R Package to Select Continuous Variables for
                 Multiclass Classification with a Stochastic Wrapper
                 Method",
}

@Article{Sheng:2008:MPMb,
  author =       "Yanyan Sheng",
  title =        "A {MATLAB} Package for {Markov} Chain {Monte Carlo}
                 with a Multi-Unidimensional {IRT} Model",
  journal =      j-J-STAT-SOFT,
  volume =       "28",
  number =       "10",
  pages =        "??--??",
  month =        nov,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v028.i10",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/matlab.bib",
  URL =          "http://www.jstatsoft.org/v28/i10",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-04-22; Accepted 2008-11-08",
  xxtitle =      "A {MATLAB} Package for Markov Chain Monte Carlo with a
                 Multi-Unidimensional {IRT} Model",
}

@Article{West:2008:ETT,
  author =       "Luke J. West and Robin K. S. Hankin",
  title =        "Exact Tests for Two-Way Contingency Tables with
                 Structural Zeros",
  journal =      j-J-STAT-SOFT,
  volume =       "28",
  number =       "11",
  pages =        "??--??",
  month =        nov,
  year =         "2008",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v028.i11",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v28/i11",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-01-23; Accepted 2008-11-11",
  xxtitle =      "Exact Tests for Two-Way Contingency Tables with
                 Structural Zeros",
}

@Article{Unwin:2009:BRB,
  author =       "Antony Unwin",
  title =        "Book Review: {{\booktitle{Bioconductor Case
                 Studies}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "29",
  number =       "BR-1",
  pages =        "??--??",
  month =        jan,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v029.b01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v29/b01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-01-02; Accepted 2009-01-02",
}

@Article{Valero-Mora:2009:BRBa,
  author =       "Pedro M. Valero-Mora",
  title =        "Book Review: {{\booktitle{Introductory Statistics with
                 R}} (Second Edition)}",
  journal =      j-J-STAT-SOFT,
  volume =       "29",
  number =       "BR-10",
  pages =        "??--??",
  month =        jan,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v029.b10",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v29/b10",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-01-15; Accepted 2009-01-15",
}

@Article{Maindonald:2009:BRBa,
  author =       "John Maindonald",
  title =        "Book Review: {{\booktitle{Modern Multivariate
                 Statistical Techniques: Regression, Classification and
                 Manifold Learning}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "29",
  number =       "BR-11",
  pages =        "??--??",
  month =        feb,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v029.b11",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v29/b11",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-02-09; Accepted 2009-02-09",
}

@Article{Maindonald:2009:BRBb,
  author =       "John Maindonald",
  title =        "Book Review: {{\booktitle{Statistical Learning from a
                 Regression Perspective}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "29",
  number =       "BR-12",
  pages =        "??--??",
  month =        feb,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v029.b12",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v29/b12",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-02-09; Accepted 2009-02-09",
}

@Article{Mair:2009:BRB,
  author =       "Patrick Mair",
  title =        "Book Review: {{\booktitle{Analysis of Multivariate
                 Social Science Data}} (2nd Edition)}",
  journal =      j-J-STAT-SOFT,
  volume =       "29",
  number =       "BR-13",
  pages =        "??--??",
  month =        feb,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v029.b13",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v29/b13",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-02-18; Accepted 2009-02-18",
}

@Article{Eddelbuettel:2009:BRBa,
  author =       "Dirk Eddelbuettel",
  title =        "Book Review: {{\booktitle{Applied Econometrics with
                 R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "29",
  number =       "BR-14",
  pages =        "??--??",
  month =        feb,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v029.b14",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v29/b14",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-02-25; Accepted 2009-02-25",
}

@Article{Sanchez:2009:BRB,
  author =       "Juana Sanchez",
  title =        "Book Review: {{\booktitle{Probability with R --- an
                 Introduction with Computer Science Applications}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "29",
  number =       "BR-2",
  pages =        "??--??",
  month =        jan,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v029.b02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v29/b02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-01-02; Accepted 2009-01-02",
}

@Article{Achard:2009:BRB,
  author =       "Sophie Achard",
  title =        "Book Review: {{\booktitle{The Statistical Analysis of
                 Functional MRI Data}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "29",
  number =       "BR-3",
  pages =        "??--??",
  month =        jan,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v029.b03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v29/b03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-01-02; Accepted 2009-01-02",
}

@Article{Ellis:2009:BRB,
  author =       "Byron Ellis",
  title =        "Book Review: {{\booktitle{Software for Data
                 Analysis}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "29",
  number =       "BR-4",
  pages =        "??--??",
  month =        jan,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v029.b04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v29/b04",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-01-02; Accepted 2009-01-02",
}

@Article{Lenth:2009:BRB,
  author =       "Russell V. Lenth",
  title =        "Book Review: {{\booktitle{Design and Analysis of
                 Experiments: Classical and Regression Approaches with
                 SAS}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "29",
  number =       "BR-5",
  pages =        "??--??",
  month =        jan,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v029.b05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v29/b05",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-01-03; Accepted 2009-01-03",
}

@Article{deLeeuw:2009:BRBa,
  author =       "Jan de Leeuw",
  title =        "Book Review: {{\booktitle{Nonlinear Regression with
                 R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "29",
  number =       "BR-6",
  pages =        "??--??",
  month =        jan,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v029.b06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v29/b06",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-01-04; Accepted 2009-01-04",
}

@Article{deLeeuw:2009:BRBb,
  author =       "Jan de Leeuw",
  title =        "Book Review: {{\booktitle{Statistical Methods for
                 Environmental Epidemiology with R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "29",
  number =       "BR-7",
  pages =        "??--??",
  month =        jan,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v029.b07",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v29/b07",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-01-05; Accepted 2009-01-05",
}

@Article{deLeeuw:2009:BRBc,
  author =       "Jan de Leeuw",
  title =        "Book Review: {{\booktitle{R Programming for
                 Bioinformatics}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "29",
  number =       "BR-8",
  pages =        "??--??",
  month =        jan,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v029.b08",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v29/b08",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-01-10; Accepted 2009-01-10",
}

@Article{Rosario:2009:BRB,
  author =       "Ryan Rosario",
  title =        "Book Review: {{\booktitle{Practical Text Mining with
                 Perl}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "29",
  number =       "BR-9",
  pages =        "??--??",
  month =        jan,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v029.b09",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v29/b09",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-01-14; Accepted 2008-01-14",
}

@Article{Wang:2009:CSC,
  author =       "Bing-Shun Wang and Xiao-Jin Wang and Li-Kun Gong",
  title =        "Code Snippet: The Construction of a {Williams} Design
                 and Randomization in Cross-Over Clinical Trials Using
                 {SAS}",
  journal =      j-J-STAT-SOFT,
  volume =       "29",
  number =       "CS-1",
  pages =        "??--??",
  month =        feb,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v029.c01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/sas.bib",
  URL =          "http://www.jstatsoft.org/v29/c01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-10-09; Accepted 2009-02-18",
}

@Article{Cho:2009:RLB,
  author =       "HyungJun Cho and Ami Yu and Sukwoo Kim and Jaewoo Kang
                 and Seung-Mo Hong",
  title =        "Robust Likelihood-Based Survival Modeling with
                 Microarray Data",
  journal =      j-J-STAT-SOFT,
  volume =       "29",
  number =       "1",
  pages =        "??--??",
  month =        jan,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v029.i01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v29/i01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-10-16; Accepted 2008-09-23",
  xxtitle =      "Robust Likelihood-Based Survival Modeling with
                 Microarray Data",
}

@Article{Cule:2009:LRP,
  author =       "Madeleine Cule and Robert B. Gramacy and Richard
                 Samworth",
  title =        "\pkg{LogConcDEAD}: An {R} Package for Maximum
                 Likelihood Estimation of a Multivariate Log-Concave
                 Density",
  journal =      j-J-STAT-SOFT,
  volume =       "29",
  number =       "2",
  pages =        "??--??",
  month =        jan,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v029.i02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v29/i02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-07-07; Accepted 2008-12-14",
  xxtitle =      "{LogConcDEAD}: An R Package for Maximum Likelihood
                 Estimation of a Multivariate Log-Concave Density",
}

@Article{Ardia:2009:AMS,
  author =       "David Ardia and Lennart F. Hoogerheide and Herman K.
                 van Dijk",
  title =        "Adaptive Mixture of {Student-$t$} Distributions as a
                 Flexible Candidate Distribution for Efficient
                 Simulation: The {R} Package \pkg{AdMit}",
  journal =      j-J-STAT-SOFT,
  volume =       "29",
  number =       "3",
  pages =        "??--??",
  month =        jan,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v029.i03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v29/i03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-06-30; Accepted 2008-12-01",
  xxtitle =      "Adaptive Mixture of Student- t Distributions as a
                 Flexible Candidate Distribution for Efficient
                 Simulation: The R Package {AdMit}",
}

@Article{Dahl:2009:RAR,
  author =       "David B. Dahl and Scott Crawford",
  title =        "\pkg{RinRuby}: Accessing the {R} Interpreter from Pure
                 {Ruby}",
  journal =      j-J-STAT-SOFT,
  volume =       "29",
  number =       "4",
  pages =        "??--??",
  month =        jan,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v029.i04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v29/i04",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-07-03; Accepted 2008-11-26",
  xxtitle =      "{RinRuby}: Accessing the R Interpreter from Pure
                 Ruby",
}

@Article{Vinod:2009:MEB,
  author =       "Hrishikesh D. Vinod and Javier L{\'o}pez-de-Lacalle",
  title =        "Maximum Entropy Bootstrap for Time Series: The
                 \pkg{meboot} {R} Package",
  journal =      j-J-STAT-SOFT,
  volume =       "29",
  number =       "5",
  pages =        "??--??",
  month =        jan,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v029.i05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v29/i05",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-10-17; Accepted 2008-07-04",
  xxtitle =      "Maximum Entropy Bootstrap for Time Series: The meboot
                 R Package",
}

@Article{Helmreich:2009:PRP,
  author =       "James E. Helmreich and Robert M. Pruzek",
  title =        "\pkg{PSAgraphics}: An {R} Package to Support
                 Propensity Score Analysis",
  journal =      j-J-STAT-SOFT,
  volume =       "29",
  number =       "6",
  pages =        "??--??",
  month =        feb,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v029.i06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v29/i06",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-09-24; Accepted 2008-12-22",
  xxtitle =      "{PSAgraphics}: An R Package to Support Propensity
                 Score Analysis",
}

@Article{Bornkamp:2009:MRP,
  author =       "Bj{\"o}rn Bornkamp and Jos{\'e} Pinheiro and Frank
                 Bretz",
  title =        "\pkg{MCPMod}: An {R} Package for the Design and
                 Analysis of Dose-Finding Studies",
  journal =      j-J-STAT-SOFT,
  volume =       "29",
  number =       "7",
  pages =        "??--??",
  month =        feb,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v029.i07",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v29/i07",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-05-15; Accepted 2009-01-22",
  xxtitle =      "{MCPMod}: An R Package for the Design and Analysis of
                 Dose-Finding Studies",
}

@Article{Solymos:2009:PED,
  author =       "P{\'e}ter S{\'o}lymos",
  title =        "Processing Ecological Data in {R} with the \pkg{mefa}
                 Package",
  journal =      j-J-STAT-SOFT,
  volume =       "29",
  number =       "8",
  pages =        "??--??",
  month =        feb,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v029.i08",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v29/i08",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-10-09; Accepted 2009-01-04",
  xxtitle =      "Processing Ecological Data in R with the mefa
                 Package",
}

@Article{Siddique:2009:MSM,
  author =       "Juned Siddique and Ofer Harel",
  title =        "\pkg{MIDAS}: a {SAS} Macro for Multiple Imputation
                 Using Distance-Aided Selection of Donors",
  journal =      j-J-STAT-SOFT,
  volume =       "29",
  number =       "9",
  pages =        "??--??",
  month =        feb,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v029.i09",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/sas.bib",
  URL =          "http://www.jstatsoft.org/v29/i09",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-09-10; Accepted 2009-01-28",
  xxtitle =      "{MIDAS}: A {SAS} Macro for Multiple Imputation Using
                 Distance-Aided Selection of Donors",
}

@Article{Grun:2009:AGE,
  author =       "Bettina Gr{\"u}n and Achim Zeileis",
  title =        "Automatic Generation of Exams in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "29",
  number =       "10",
  pages =        "??--??",
  month =        feb,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v029.i10",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v29/i10",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-11-10; Accepted 2009-02-17",
  xxtitle =      "Automatic Generation of Exams in R",
}

@Article{Maloney:2009:BRB,
  author =       "Laurence T. Maloney",
  title =        "Book Review: {{\booktitle{Introduction to Probability
                 with R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "30",
  number =       "BR-1",
  pages =        "??--??",
  month =        apr,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v030.b01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v30/b01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-04-27; Accepted 2009-04-27",
}

@Article{Wilson:2009:BRB,
  author =       "Brigid Wilson",
  title =        "Book Review: {{\booktitle{A Handbook of Statistical
                 Analyses Using SAS}} (Third Edition)}",
  journal =      j-J-STAT-SOFT,
  volume =       "30",
  number =       "BR-2",
  pages =        "??--??",
  month =        apr,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v030.b02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v30/b02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-04-27; Accepted 2009-04-27",
}

@Article{Hilbe:2009:BRBa,
  author =       "Joseph Hilbe",
  title =        "Book Review: {{\booktitle{Data Analysis Using
                 Regression and Multilevel/Hierarchical Models}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "30",
  number =       "BR-3",
  pages =        "??--??",
  month =        apr,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v030.b03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v30/b03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-04-27; Accepted 2009-04-27",
}

@Article{Hilbe:2009:BRBb,
  author =       "Joseph Hilbe",
  title =        "Book Review: {{\booktitle{Survival Analysis for
                 Epidemiologic and Medical Research}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "30",
  number =       "BR-4",
  pages =        "??--??",
  month =        apr,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v030.b04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v30/b04",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-04-27; Accepted 2009-04-27",
}

@Article{Eddelbuettel:2009:BRBb,
  author =       "Dirk Eddelbuettel",
  title =        "Book Review: {{\booktitle{Analysis of Integrated and
                 Cointegrated Time Series with R}} (2nd Edition)}",
  journal =      j-J-STAT-SOFT,
  volume =       "30",
  number =       "BR-5",
  pages =        "??--??",
  month =        apr,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v030.b05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v30/b05",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-04-27; Accepted 2009-04-27",
}

@Article{Sargin:2009:BRB,
  author =       "Anatol Sargin",
  title =        "Book Review: {{\booktitle{Statistics and Data with R:
                 An Applied Approach Through Examples}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "30",
  number =       "BR-6",
  pages =        "??--??",
  month =        apr,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v030.b06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v30/b06",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-04-27; Accepted 2009-04-27",
}

@Article{Valero-Mora:2009:BRBb,
  author =       "Pedro M. Valero-Mora",
  title =        "Book Review: {{\booktitle{Interactive and Dynamic
                 Graphics for Data Analysis: With R and GGobi}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "30",
  number =       "BR-7",
  pages =        "??--??",
  month =        may,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v030.b07",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v30/b07",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-05-11; Accepted 2009-05-11",
}

@Article{VandenMeersche:2009:CSF,
  author =       "Karel {Van den Meersche} and Karline Soetaert and Dick
                 {Van Oevelen}",
  title =        "Code Snippet: \fun{xsample()}: An {R} Function for
                 Sampling Linear Inverse Problems",
  journal =      j-J-STAT-SOFT,
  volume =       "30",
  number =       "CS-1",
  pages =        "??--??",
  month =        apr,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v030.c01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v30/c01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-05-26; Accepted 2009-03-31",
}

@Article{Murrell:2009:QCS,
  author =       "Paul Murrell and Stephen Gardiner",
  title =        "Quality Control for Statistical Graphics: The
                 \pkg{graphicsQC} Package for {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "30",
  number =       "1",
  pages =        "??--??",
  month =        apr,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v030.i01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v30/i01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-12-08; Accepted 2009-02-25",
  xxtitle =      "Quality Control for Statistical Graphics: The
                 {graphicsQC} Package for R",
}

@Article{Hoffmann:2009:FMA,
  author =       "Thomas J. Hoffmann and Nan M. Laird",
  title =        "\pkg{fgui}: a Method for Automatically Creating
                 Graphical User Interfaces for Command-Line {R}
                 Packages",
  journal =      j-J-STAT-SOFT,
  volume =       "30",
  number =       "2",
  pages =        "??--??",
  month =        apr,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v030.i02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v30/i02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-10-01; Accepted 2009-03-02",
  xxtitle =      "fgui: A Method for Automatically Creating Graphical
                 User Interfaces for Command-Line R Packages",
}

@Article{Chu:2009:SAI,
  author =       "Annie Chu and Jenny Cui and Ivo D. Dinov",
  title =        "{SOCR} Analyses: Implementation and Demonstration of a
                 New Graphical Statistics Educational Toolkit",
  journal =      j-J-STAT-SOFT,
  volume =       "30",
  number =       "3",
  pages =        "??--??",
  month =        apr,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v030.i03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v30/i03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-10-13; Accepted 2009-01-29",
  xxtitle =      "{SOCR} Analyses: Implementation and Demonstration of a
                 New Graphical Statistics Educational Toolkit",
}

@Article{Murrell:2009:IVG,
  author =       "Paul Murrell",
  title =        "Importing Vector Graphics: The \pkg{grImport} Package
                 for {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "30",
  number =       "4",
  pages =        "??--??",
  month =        apr,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v030.i04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v30/i04",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-11-16; Accepted 2009-02-27",
  xxtitle =      "Importing Vector Graphics: The {grImport} Package for
                 R",
}

@Article{Johnson:2009:PSI,
  author =       "Jacqueline L. Johnson and Keith E. Muller and James C.
                 Slaughter and Matthew J. Gurka and Matthew J. Gribbin
                 and Sean L. Simpson",
  title =        "\pkg{POWERLIB}: {SAS\slash IML} Software for Computing
                 Power in Multivariate Linear Models",
  journal =      j-J-STAT-SOFT,
  volume =       "30",
  number =       "5",
  pages =        "??--??",
  month =        apr,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v030.i05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/sas.bib",
  URL =          "http://www.jstatsoft.org/v30/i05",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-11-26; Accepted 2008-02-13",
  xxtitle =      "{POWERLIB}: {SAS}/{IML} Software for Computing Power
                 in Multivariate Linear Models",
}

@Article{Johansen:2009:SSM,
  author =       "Adam M. Johansen",
  title =        "\pkg{SMCTC}: Sequential {Monte Carlo} in {C++}",
  journal =      j-J-STAT-SOFT,
  volume =       "30",
  number =       "6",
  pages =        "??--??",
  month =        apr,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v030.i06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v30/i06",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-08-29; Accepted 2009-03-24",
  xxtitle =      "{SMCTC}: Sequential Monte Carlo in
                 C$\mathplus\mathplus$",
}

@Article{Kontopantelis:2009:MMA,
  author =       "Evangelos Kontopantelis and David Reeves",
  title =        "\pkg{MetaEasy}: a Meta-Analysis Add-In for {Microsoft
                 Excel}",
  journal =      j-J-STAT-SOFT,
  volume =       "30",
  number =       "7",
  pages =        "??--??",
  month =        apr,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v030.i07",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v30/i07",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-04-23; Accepted 2009-03-17",
  xxtitle =      "{MetaEasy}: A Meta-Analysis Add-In for Microsoft
                 Excel",
}

@Article{Eugster:2009:SMH,
  author =       "Manuel J. A. Eugster and Friedrich Leisch",
  title =        "From {Spider-Man} to Hero --- Archetypal Analysis in
                 {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "30",
  number =       "8",
  pages =        "??--??",
  month =        apr,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v030.i08",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v30/i08",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-12-11; Accepted 2009-04-21",
  xxtitle =      "From Spider-Man to Hero - Archetypal Analysis in R",
}

@Article{Iacus:2009:CSC,
  author =       "Stefano M. Iacus and Gary King and Giuseppe Porro",
  title =        "\pkg{cem}: Software for Coarsened Exact Matching",
  journal =      j-J-STAT-SOFT,
  volume =       "30",
  number =       "9",
  pages =        "??--??",
  month =        jun,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v030.i09",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v30/i09",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-08-20; Accepted 2009-04-06",
  xxtitle =      "cem: Software for Coarsened Exact Matching",
}

@Article{Holmes:2009:IJS,
  author =       "Susan Holmes and Adam Kapelner and Peter P. Lee",
  title =        "An Interactive {Java} Statistical Image Segmentation
                 System: \pkg{GemIdent}",
  journal =      j-J-STAT-SOFT,
  volume =       "30",
  number =       "10",
  pages =        "??--??",
  month =        jun,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v030.i10",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v30/i10",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-08-09; Accepted 2009-01-15",
  xxtitle =      "An Interactive Java Statistical Image Segmentation
                 System: {GemIdent}",
}

@Article{Kao:2009:MOO,
  author =       "Ming-Hung Kao",
  title =        "Multi-Objective Optimal Experimental Designs for
                 {ER-fMRI} Using {MATLAB}",
  journal =      j-J-STAT-SOFT,
  volume =       "30",
  number =       "11",
  pages =        "??--??",
  month =        jun,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v030.i11",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/matlab.bib",
  URL =          "http://www.jstatsoft.org/v30/i11",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-10-31; Accepted 2009-04-21",
  xxtitle =      "Multi-Objective Optimal Experimental Designs for
                 {ER}-{fMRI} Using {MATLAB}",
}

@Article{laGrange:2009:BIB,
  author =       "Anthony la Grange and Ni{\"e}l le Roux and Sugnet
                 Gardner-Lubbe",
  title =        "\pkg{BiplotGUI}: Interactive Biplots in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "30",
  number =       "12",
  pages =        "??--??",
  month =        jun,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v030.i12",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v30/i12",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-07-29; Accepted 2009-03-17",
  xxtitle =      "{BiplotGUI}: Interactive Biplots in R",
}

@Article{Buttrey:2009:EAS,
  author =       "Samuel E. Buttrey",
  title =        "An {Excel} Add-In for Statistical Process Control
                 Charts",
  journal =      j-J-STAT-SOFT,
  volume =       "30",
  number =       "13",
  pages =        "??--??",
  month =        jun,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v030.i13",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v30/i13",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-09-13; Accepted 2009-03-18",
  xxtitle =      "An Excel Add-In for Statistical Process Control
                 Charts",
}

@Article{Bowman:2009:BRB,
  author =       "Adrian Bowman",
  title =        "Book Review: {{\booktitle{Morphometrics with R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "31",
  number =       "BR-1",
  pages =        "??--??",
  month =        sep,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v031.b01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v31/b01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-09-19; Accepted 2009-09-19",
}

@Article{Sabatti:2009:BRB,
  author =       "Chiara Sabatti and Christophe Lalanne",
  title =        "Book Review: {{\booktitle{Applied Statistical Genetics
                 with R for Population-Based Association Studies}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "31",
  number =       "BR-2",
  pages =        "??--??",
  month =        sep,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v031.b02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v31/b02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-09-19; Accepted 2009-09-19",
}

@Article{Kukuyeva:2009:BRB,
  author =       "Irina Kukuyeva",
  title =        "Book Review: {{\booktitle{Principles of Modeling and
                 Simulation: A Multidisciplinary Approach}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "31",
  number =       "BR-3",
  pages =        "??--??",
  month =        sep,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v031.b03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v31/b03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-09-25; Accepted 2009-09-25",
}

@Article{Rufibach:2009:CSR,
  author =       "Kaspar Rufibach",
  title =        "Code Snippet: reporttools: {R} Functions to Generate
                 {LaTeX} Tables of Descriptive Statistics",
  journal =      j-J-STAT-SOFT,
  volume =       "31",
  number =       "CS-1",
  pages =        "??--??",
  month =        aug,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v031.c01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v31/c01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-11-13; Accepted 2009-05-05",
}

@Article{Pan:2009:CSS,
  author =       "Wei Pan",
  title =        "Code Snippet: a {SAS\slash IML} Macro for Computing
                 Percentage Points of {Pearson} Distributions",
  journal =      j-J-STAT-SOFT,
  volume =       "31",
  number =       "CS-2",
  pages =        "??--??",
  month =        sep,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v031.c02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/sas.bib",
  URL =          "http://www.jstatsoft.org/v31/c02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-02-17; Accepted 2009-07-07",
}

@Article{Dryver:2009:CSE,
  author =       "Arthur Dryver",
  title =        "Code Snippet: The Enhancement of Teaching Materials
                 for Applied Statistics Courses by Combining Random
                 Number Generation and Portable Document Format Files
                 via {\LaTeX}",
  journal =      j-J-STAT-SOFT,
  volume =       "31",
  number =       "CS-3",
  pages =        "1--9",
  month =        sep,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v031.c03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v31/c03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-09-17; Accepted 2009-05-27",
}

@Article{Schmidberger:2009:SAP,
  author =       "Markus Schmidberger and Martin Morgan and Dirk
                 Eddelbuettel and Hao Yu and Luke Tierney and Ulrich
                 Mansmann",
  title =        "State of the Art in Parallel Computing with {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "31",
  number =       "1",
  pages =        "??--??",
  month =        aug,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v031.i01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v31/i01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-12-29; Accepted 2009-06-02",
  xxtitle =      "State of the Art in Parallel Computing with R",
}

@Article{Meyer:2009:GCS,
  author =       "David Meyer and Kurt Hornik",
  title =        "Generalized and Customizable Sets in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "31",
  number =       "2",
  pages =        "??--??",
  month =        aug,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v031.i02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v31/i02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-01-21; Accepted 2009-06-11",
  xxtitle =      "Generalized and Customizable Sets in R",
}

@Article{deLeeuw:2009:MSU,
  author =       "Jan de Leeuw and Patrick Mair",
  title =        "Multidimensional Scaling Using Majorization: {SMACOF}
                 in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "31",
  number =       "3",
  pages =        "??--??",
  month =        aug,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v031.i03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v31/i03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-11-28; Accepted 2009-06-03",
  xxtitle =      "Multidimensional Scaling Using Majorization: {SMACOF}
                 in R",
}

@Article{deLeeuw:2009:GMO,
  author =       "Jan de Leeuw and Patrick Mair",
  title =        "{Gifi} Methods for Optimal Scaling in {R}: The Package
                 \pkg{homals}",
  journal =      j-J-STAT-SOFT,
  volume =       "31",
  number =       "4",
  pages =        "??--??",
  month =        aug,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v031.i04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v31/i04",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-11-06; Accepted 2009-07-23",
  xxtitle =      "Gifi Methods for Optimal Scaling in R: The Package
                 homals",
}

@Article{deLeeuw:2009:SCC,
  author =       "Jan de Leeuw and Patrick Mair",
  title =        "Simple and Canonical Correspondence Analysis Using the
                 {R} Package \pkg{anacor}",
  journal =      j-J-STAT-SOFT,
  volume =       "31",
  number =       "5",
  pages =        "??--??",
  month =        aug,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v031.i05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v31/i05",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-11-25; Accepted 2009-06-18",
  xxtitle =      "Simple and Canonical Correspondence Analysis Using the
                 R Package anacor",
}

@Article{Unlu:2009:FSR,
  author =       "Ali {\"U}nl{\"u} and Thomas Kiefer and Ehtibar N.
                 Dzhafarov",
  title =        "{Fechnerian} Scaling in {R}: The Package
                 \pkg{fechner}",
  journal =      j-J-STAT-SOFT,
  volume =       "31",
  number =       "6",
  pages =        "??--??",
  month =        aug,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v031.i06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v31/i06",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-03-30; Accepted 2009-07-29",
  xxtitle =      "Fechnerian Scaling in R: The Package fechner",
}

@Article{Giorgino:2009:CVD,
  author =       "Toni Giorgino",
  title =        "Computing and Visualizing Dynamic Time Warping
                 Alignments in {R}: The \pkg{dtw} Package",
  journal =      j-J-STAT-SOFT,
  volume =       "31",
  number =       "7",
  pages =        "??--??",
  month =        aug,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v031.i07",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v31/i07",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-09-30; Accepted 2009-06-26",
  xxtitle =      "Computing and Visualizing Dynamic Time Warping
                 Alignments in R: The dtw Package",
}

@Article{Lorenzo-Seva:2009:CMP,
  author =       "Urbano Lorenzo-Seva and Michel van de Velden and Henk
                 A. L. Kiers",
  title =        "\pkg{CAR}: a {MATLAB} Package to Compute
                 Correspondence Analysis with Rotations",
  journal =      j-J-STAT-SOFT,
  volume =       "31",
  number =       "8",
  pages =        "??--??",
  month =        sep,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v031.i08",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/matlab.bib",
  URL =          "http://www.jstatsoft.org/v31/i08",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-12-18; Accepted 2009-07-14",
  xxtitle =      "{CAR}: A {MATLAB} Package to Compute Correspondence
                 Analysis with Rotations",
}

@Article{Polzehl:2009:SAS,
  author =       "J{\"o}rg Polzehl and Karsten Tabelow",
  title =        "Structural Adaptive Smoothing in Diffusion Tensor
                 Imaging: The {R} Package \pkg{dti}",
  journal =      j-J-STAT-SOFT,
  volume =       "31",
  number =       "9",
  pages =        "??--??",
  month =        sep,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v031.i09",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v31/i09",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-01-12; Accepted 2009-06-25",
  xxtitle =      "Structural Adaptive Smoothing in Diffusion Tensor
                 Imaging: The R Package dti",
}

@Article{Berens:2009:CMT,
  author =       "Philipp Berens",
  title =        "\pkg{CircStat}: a {MATLAB} Toolbox for Circular
                 Statistics",
  journal =      j-J-STAT-SOFT,
  volume =       "31",
  number =       "10",
  pages =        "??--??",
  month =        sep,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v031.i10",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/matlab.bib",
  URL =          "http://www.jstatsoft.org/v31/i10",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-07-27; Accepted 2009-08-26",
  xxtitle =      "{CircStat}: A {MATLAB} Toolbox for Circular
                 Statistics",
}

@Article{Christ:2009:BRB,
  author =       "Aaron Christ",
  title =        "Book Review: {{\booktitle{Mixed Effects Models and
                 Extensions in Ecology with R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "32",
  number =       "BR-1",
  pages =        "??--??",
  month =        nov,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v032.b01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v32/b01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-11-08; Accepted 2009-11-08",
}

@Article{Eddelbuettel:2009:BRBc,
  author =       "Dirk Eddelbuettel",
  title =        "Book Review: {{\booktitle{Computational Statistics: An
                 Introduction to R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "32",
  number =       "BR-2",
  pages =        "??--??",
  month =        dec,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v032.b02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v32/b02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-12-22; Accepted 2009-12-22",
}

@Article{Lawson:2009:CSB,
  author =       "John Lawson and G. Bruce Schaalje and Bruce Jay
                 Collings",
  title =        "Code Snippet: Blocking Mixed-Level Factorials with
                 {SAS}",
  journal =      j-J-STAT-SOFT,
  volume =       "32",
  number =       "CS-1",
  pages =        "??--??",
  month =        nov,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v032.c01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/sas.bib",
  URL =          "http://www.jstatsoft.org/v32/c01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-06-07; Accepted 2009-06-22",
}

@Article{Fox:2009:EDR,
  author =       "John Fox and Jangman Hong",
  title =        "Effect Displays in {R} for Multinomial and
                 Proportional-Odds Logit Models: Extensions to the
                 \pkg{effects} Package",
  journal =      j-J-STAT-SOFT,
  volume =       "32",
  number =       "1",
  pages =        "??--??",
  month =        oct,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v032.i01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v32/i01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-04-17; Accepted 2009-09-22",
  xxtitle =      "Effect Displays in R for Multinomial and
                 Proportional-Odds Logit Models: Extensions to the
                 effects Package",
}

@Article{Lupi:2009:URC,
  author =       "Claudio Lupi",
  title =        "Unit Root {CADF} Testing with {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "32",
  number =       "2",
  pages =        "??--??",
  month =        oct,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v032.i02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v32/i02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-12-29; Accepted 2009-08-10",
  xxtitle =      "Unit Root {CADF} Testing with R",
}

@Article{Todorov:2009:OOF,
  author =       "Valentin Todorov and Peter Filzmoser",
  title =        "An Object-Oriented Framework for Robust Multivariate
                 Analysis",
  journal =      j-J-STAT-SOFT,
  volume =       "32",
  number =       "3",
  pages =        "??--??",
  month =        oct,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v032.i03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v32/i03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-02-26; Accepted 2009-08-08",
  xxtitle =      "An Object-Oriented Framework for Robust Multivariate
                 Analysis",
}

@Article{Varadhan:2009:BRP,
  author =       "Ravi Varadhan and Paul Gilbert",
  title =        "\pkg{BB}: An {R} Package for Solving a Large System of
                 Nonlinear Equations and for Optimizing a
                 High-Dimensional Nonlinear Objective Function",
  journal =      j-J-STAT-SOFT,
  volume =       "32",
  number =       "4",
  pages =        "??--??",
  month =        oct,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v032.i04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v32/i04",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-12-31; Accepted 2009-06-29",
  xxtitle =      "{BB}: An R Package for Solving a Large System of
                 Nonlinear Equations and for Optimizing a
                 High-Dimensional Nonlinear Objective Function",
}

@Article{deLeeuw:2009:IOR,
  author =       "Jan de Leeuw and Kurt Hornik and Patrick Mair",
  title =        "Isotone Optimization in {R}: Pool-Adjacent-Violators
                 Algorithm ({PAVA}) and Active Set Methods",
  journal =      j-J-STAT-SOFT,
  volume =       "32",
  number =       "5",
  pages =        "??--??",
  month =        oct,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v032.i05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v32/i05",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-03-27; Accepted 2009-09-30",
  xxtitle =      "Isotone Optimization in R: Pool-Adjacent-Violators
                 Algorithm ({PAVA}) and Active Set Methods",
}

@Article{Benaglia:2009:MRP,
  author =       "Tatiana Benaglia and Didier Chauveau and David R.
                 Hunter and Derek S. Young",
  title =        "\pkg{mixtools}: An {R} Package for Analyzing Mixture
                 Models",
  journal =      j-J-STAT-SOFT,
  volume =       "32",
  number =       "6",
  pages =        "??--??",
  month =        oct,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v032.i06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v32/i06",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-04-28; Accepted 2009-08-18",
  xxtitle =      "mixtools: An R Package for Analyzing Finite Mixture
                 Models",
}

@Article{Lenth:2009:RSM,
  author =       "Russell V. Lenth",
  title =        "Response-Surface Methods in {R}, Using \pkg{rsm}",
  journal =      j-J-STAT-SOFT,
  volume =       "32",
  number =       "7",
  pages =        "??--??",
  month =        oct,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v032.i07",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v32/i07",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-03-04; Accepted 2009-10-19",
  xxtitle =      "Response-Surface Methods in R, Using rsm",
}

@Article{Grasman:2009:FCC,
  author =       "Raoul P. P. P. Grasman and Han L. J. van der Maas and
                 Eric-Jan Wagenmakers",
  title =        "Fitting the Cusp Catastrophe in {R}: a \pkg{cusp}
                 Package Primer",
  journal =      j-J-STAT-SOFT,
  volume =       "32",
  number =       "8",
  pages =        "??--??",
  month =        nov,
  year =         "2009",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v032.i08",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v32/i08",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-11-10; Accepted 2009-05-09",
  xxtitle =      "Fitting the Cusp Catastrophe in R: A cusp Package
                 Primer",
}

@Article{Soetaert:2010:BRB,
  author =       "Karline Soetaert",
  title =        "Book Review: {{\booktitle{A Primer of Ecology with
                 R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "32",
  number =       "BR-3",
  pages =        "??--??",
  month =        jan,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v032.b03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v32/b03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-01-06; Accepted 2010-01-06",
}

@Article{Sanchez:2010:BRBa,
  author =       "Juana Sanchez",
  title =        "Book Review: {{\booktitle{Introductory Time Series
                 with R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "32",
  number =       "BR-4",
  pages =        "??--??",
  month =        jan,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v032.b04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v32/b04",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-01-11; Accepted 2010-01-11",
}

@Article{Zhou:2010:BRB,
  author =       "Qing Zhou",
  title =        "Book Review: {{\booktitle{A Guide to QTL Mapping with
                 R/qtl}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "32",
  number =       "BR-5",
  pages =        "??--??",
  month =        jan,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v032.b05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v32/b05",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-01-19; Accepted 2010-01-19",
}

@Article{Recchia:2010:CSR,
  author =       "Anthony Recchia",
  title =        "Code Snippet: {R}-Squared Measures for Two-Level
                 Hierarchical Linear Models Using {SAS}",
  journal =      j-J-STAT-SOFT,
  volume =       "32",
  number =       "CS-2",
  pages =        "??--??",
  month =        jan,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v032.c02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/sas.bib",
  URL =          "http://www.jstatsoft.org/v32/c02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-07-02; Accepted 2009-12-17",
}

@Article{Mair:2010:GFM,
  author =       "Patrick Mair and Jan de Leeuw",
  title =        "A General Framework for Multivariate Analysis with
                 Optimal Scaling: The {R} Package \pkg{aspect}",
  journal =      j-J-STAT-SOFT,
  volume =       "32",
  number =       "9",
  pages =        "??--??",
  month =        jan,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v032.i09",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v32/i09",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-03-24; Accepted 2009-11-09",
  xxtitle =      "A General Framework for Multivariate Analysis with
                 Optimal Scaling: The R Package aspect",
}

@Article{Yee:2010:VPC,
  author =       "Thomas W. Yee",
  title =        "The {VGAM} Package for Categorical Data Analysis",
  journal =      j-J-STAT-SOFT,
  volume =       "32",
  number =       "10",
  pages =        "??--??",
  month =        jan,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v032.i10",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v32/i10",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-06-18; Accepted 2009-10-19",
  xxtitle =      "The {VGAM} Package for Categorical Data Analysis",
}

@Article{Crainiceanu:2010:BFD,
  author =       "Ciprian M. Crainiceanu and A. Jeffrey Goldsmith",
  title =        "{Bayesian} Functional Data Analysis Using {WinBUGS}",
  journal =      j-J-STAT-SOFT,
  volume =       "32",
  number =       "11",
  pages =        "??--??",
  month =        jan,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v032.i11",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v32/i11",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-07-29; Accepted 2009-11-09",
  xxtitle =      "Bayesian Functional Data Analysis Using {WinBUGS}",
}

@Article{Muggeo:2010:ATE,
  author =       "Vito M. R. Muggeo",
  title =        "Analyzing Temperature Effects on Mortality Within the
                 {R} Environment: The Constrained Segmented Distributed
                 Lag Parameterization",
  journal =      j-J-STAT-SOFT,
  volume =       "32",
  number =       "12",
  pages =        "??--??",
  month =        jan,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v032.i12",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v32/i12",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-12-16; Accepted 2009-12-11",
  xxtitle =      "Analyzing Temperature Effects on Mortality Within the
                 R Environment: The Constrained Segmented Distributed
                 Lag Parameterization",
}

@Article{Yalta:2010:BRB,
  author =       "A. Talha Yalta",
  title =        "Book Review: {{\booktitle{Hands-On Intermediate
                 Econometrics Using R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "33",
  number =       "BR-1",
  pages =        "??--??",
  month =        feb,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v033.b01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v33/b01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-01-26; Accepted 2010-01-26",
}

@Article{Ekstrom:2010:BRB,
  author =       "Joakim Ekstr{\"o}m",
  title =        "Book Review: {{\booktitle{Computation of Multivariate
                 Normal and t Probabilities}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "33",
  number =       "BR-2",
  pages =        "??--??",
  month =        feb,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v033.b02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v33/b02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-02-02; Accepted 2010-02-02",
}

@Article{Gould:2010:BRB,
  author =       "Robert Gould",
  title =        "Book Review: {{\booktitle{A Modern Approach to
                 Regression with R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "33",
  number =       "BR-3",
  pages =        "??--??",
  month =        mar,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v033.b03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v33/b03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-03-16; Accepted 2010-03-16",
}

@Article{Phillips:2010:CSR,
  author =       "Kem Phillips",
  title =        "Code Snippet: {R} Functions to Symbolically Compute
                 the Central Moments of the Multivariate Normal
                 Distribution",
  journal =      j-J-STAT-SOFT,
  volume =       "33",
  number =       "CS-1",
  pages =        "??--??",
  month =        feb,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v033.c01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v33/c01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-05-21; Accepted 2009-11-20",
}

@Article{Recchia:2010:CSC,
  author =       "Anthony Recchia",
  title =        "Code Snippet: Contiguity-Constrained Hierarchical
                 Agglomerative Clustering Using {SAS}",
  journal =      j-J-STAT-SOFT,
  volume =       "33",
  number =       "CS-2",
  pages =        "??--??",
  month =        feb,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v033.c02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/sas.bib",
  URL =          "http://www.jstatsoft.org/v33/c02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-08-13; Accepted 2010-01-29",
}

@Article{Friedman:2010:RPG,
  author =       "Jerome Friedman and Trevor Hastie and Rob Tibshirani",
  title =        "Regularization Paths for Generalized Linear Models via
                 Coordinate Descent",
  journal =      j-J-STAT-SOFT,
  volume =       "33",
  number =       "1",
  pages =        "??--??",
  month =        feb,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v033.i01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v33/i01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-04-22; Accepted 2009-12-15",
  xxtitle =      "Regularization Paths for Generalized Linear Models via
                 Coordinate Descent",
}

@Article{Hadfield:2010:MMM,
  author =       "Jarrod D. Hadfield",
  title =        "{MCMC} Methods for Multi-Response Generalized Linear
                 Mixed Models: The \pkg{MCMCglmm} {R} Package",
  journal =      j-J-STAT-SOFT,
  volume =       "33",
  number =       "2",
  pages =        "??--??",
  month =        feb,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v033.i02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v33/i02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-02-18; Accepted 2009-12-21",
  xxtitle =      "{MCMC} Methods for Multi-Response Generalized Linear
                 Mixed Models: The {MCMCglmm} R Package",
}

@Article{Soetaert:2010:IMS,
  author =       "Karline Soetaert and Thomas Petzoldt",
  title =        "Inverse Modelling, Sensitivity and {Monte Carlo}
                 Analysis in {R} Using Package \pkg{FME}",
  journal =      j-J-STAT-SOFT,
  volume =       "33",
  number =       "3",
  pages =        "??--??",
  month =        feb,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v033.i03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v33/i03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-09-22; Accepted 2010-01-18",
  xxtitle =      "Inverse Modelling, Sensitivity and Monte Carlo
                 Analysis in R Using Package {FME}",
}

@Article{Chang:2010:CRP,
  author =       "Fang Chang and Weiliang Qiu and Ruben H. Zamar and
                 Ross Lazarus and Xiaogang Wang",
  title =        "\pkg{clues}: An {R} Package for Nonparametric
                 Clustering Based on Local Shrinking",
  journal =      j-J-STAT-SOFT,
  volume =       "33",
  number =       "4",
  pages =        "??--??",
  month =        feb,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v033.i04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v33/i04",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-03-26; Accepted 2010-01-31",
  xxtitle =      "clues: An R Package for Nonparametric Clustering Based
                 on Local Shrinking",
}

@Article{Kugiumtzis:2010:MAT,
  author =       "Dimitris Kugiumtzis and Alkiviadis Tsimpiris",
  title =        "Measures of Analysis of Time Series ({MATS}): a
                 {MATLAB} Toolkit for Computation of Multiple Measures
                 on Time Series Data Bases",
  journal =      j-J-STAT-SOFT,
  volume =       "33",
  number =       "5",
  pages =        "??--??",
  month =        feb,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v033.i05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/matlab.bib",
  URL =          "http://www.jstatsoft.org/v33/i05",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-01-13; Accepted 2010-01-11",
  xxtitle =      "Measures of Analysis of Time Series ( {MATS} ): A
                 {MATLAB} Toolkit for Computation of Multiple Measures
                 on Time Series Data Bases",
}

@Article{Gramacy:2010:CIS,
  author =       "Robert B. Gramacy and Matthew Alan Taddy",
  title =        "Categorical Inputs, Sensitivity Analysis, Optimization
                 and Importance Tempering with \pkg{tgp} Version 2, an
                 {R} Package for Treed {Gaussian} Process Models",
  journal =      j-J-STAT-SOFT,
  volume =       "33",
  number =       "6",
  pages =        "??--??",
  month =        feb,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v033.i06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v33/i06",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-01-17; Accepted 2009-12-23",
  xxtitle =      "Categorical Inputs, Sensitivity Analysis, Optimization
                 and Importance Tempering with tgp Version 2, an R
                 Package for Treed Gaussian Process Models",
}

@Article{Kahm:2010:GFB,
  author =       "Matthias Kahm and Guido Hasenbrink and Hella
                 Lichtenberg-Frat{\'e} and Jost Ludwig and Maik
                 Kschischo",
  title =        "\pkg{grofit}: Fitting Biological Growth Curves with
                 {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "33",
  number =       "7",
  pages =        "??--??",
  month =        feb,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v033.i07",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v33/i07",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-07-14; Accepted 2009-06-18",
  xxtitle =      "grofit: Fitting Biological Growth Curves with R",
}

@Article{Zang:2010:SAC,
  author =       "Yong Zang and Wing Kam Fung and Gang Zheng",
  title =        "Simple Algorithms to Calculate Asymptotic Null
                 Distributions of Robust Tests in Case-Control Genetic
                 Association Studies in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "33",
  number =       "8",
  pages =        "??--??",
  month =        feb,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v033.i08",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v33/i08",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-05-05; Accepted 2009-11-10",
  xxtitle =      "Simple Algorithms to Calculate Asymptotic Null
                 Distributions of Robust Tests in Case-Control Genetic
                 Association Studies in R",
}

@Article{Soetaert:2010:SDE,
  author =       "Karline Soetaert and Thomas Petzoldt and R. Woodrow
                 Setzer",
  title =        "Solving Differential Equations in {R}: Package
                 \pkg{deSolve}",
  journal =      j-J-STAT-SOFT,
  volume =       "33",
  number =       "9",
  pages =        "??--??",
  month =        feb,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v033.i09",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v33/i09",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-07-17; Accepted 2010-02-12",
  xxtitle =      "Solving Differential Equations in R: Package
                 {deSolve}",
}

@Article{Gromping:2010:ILE,
  author =       "Ulrike Gr{\"o}mping",
  title =        "Inference with Linear Equality and Inequality
                 Constraints Using {R}: The Package \pkg{ic.infer}",
  journal =      j-J-STAT-SOFT,
  volume =       "33",
  number =       "10",
  pages =        "??--??",
  month =        feb,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v033.i10",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v33/i10",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-08-20; Accepted 2009-12-16",
  xxtitle =      "Inference with Linear Equality and Inequality
                 Constraints Using R: The Package ic.infer",
}

@Article{Hankin:2010:GDD,
  author =       "Robin K. S. Hankin",
  title =        "A Generalization of the {Dirichlet} Distribution",
  journal =      j-J-STAT-SOFT,
  volume =       "33",
  number =       "11",
  pages =        "??--??",
  month =        feb,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v033.i11",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v33/i11",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-09-30; Accepted 2010-02-15",
  xxtitle =      "A Generalization of the Dirichlet Distribution",
}

@Article{Wickham:2010:BRBa,
  author =       "Hadley Wickham",
  title =        "Book Review: {{\booktitle{Making Sense of Data II: A
                 Practical Guide to Data Visualization, Advanced Data
                 Mining Methods, and Applications}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "34",
  number =       "BR-1",
  pages =        "??--??",
  month =        apr,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v034.b01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v34/b01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-04-08; Accepted 2010-04-08",
}

@Article{Strobl:2010:BRB,
  author =       "Carolin Strobl",
  title =        "Book Review: {{\booktitle{Advances in Social Science
                 Research Using R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "34",
  number =       "BR-2",
  pages =        "??--??",
  month =        apr,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v034.b02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v34/b02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-04-13; Accepted 2010-04-13",
}

@Article{Bowman:2010:BRB,
  author =       "Adrian Bowman",
  title =        "Book Review: {{\booktitle{Functional Data Analysis
                 with R and MATLAB}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "34",
  number =       "BR-3",
  pages =        "??--??",
  month =        apr,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v034.b03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/matlab.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v34/b03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-04-15; Accepted 2010-04-15",
}

@Article{Zeileis:2010:EMF,
  author =       "Achim Zeileis and Yves Croissant",
  title =        "Extended Model Formulas in {R}: Multiple Parts and
                 Multiple Responses",
  journal =      j-J-STAT-SOFT,
  volume =       "34",
  number =       "1",
  pages =        "??--??",
  month =        apr,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v034.i01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v34/i01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-09-23; Accepted 2010-03-23",
  xxtitle =      "Extended Model Formulas in R: Multiple Parts and
                 Multiple Responses",
}

@Article{Cribari-Neto:2010:BRR,
  author =       "Francisco Cribari-Neto and Achim Zeileis",
  title =        "Beta Regression in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "34",
  number =       "2",
  pages =        "??--??",
  month =        apr,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v034.i02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v34/i02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-12-14; Accepted 2010-03-14",
  xxtitle =      "Beta Regression in R",
}

@Article{Sheng:2010:BEM,
  author =       "Yanyan Sheng",
  title =        "{Bayesian} Estimation of {MIRT} Models with General
                 and Specific Latent Traits in {MATLAB}",
  journal =      j-J-STAT-SOFT,
  volume =       "34",
  number =       "3",
  pages =        "??--??",
  month =        apr,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v034.i03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/matlab.bib",
  URL =          "http://www.jstatsoft.org/v34/i03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-10-30; Accepted 2010-03-26",
  xxtitle =      "Bayesian Estimation of {MIRT} Models with General and
                 Specific Latent Traits in {MATLAB}",
}

@Article{Almiron:2010:NAS,
  author =       "Marcelo G. Almiron and Bruno Lopes and Alyson L. C.
                 Oliveira and Antonio C. Medeiros and Alejandro C.
                 Frery",
  title =        "On the Numerical Accuracy of Spreadsheets",
  journal =      j-J-STAT-SOFT,
  volume =       "34",
  number =       "4",
  pages =        "??--??",
  month =        apr,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v034.i04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v34/i04",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-12-11; Accepted 2010-01-31",
  xxtitle =      "On the Numerical Accuracy of Spreadsheets",
}

@Article{Pateiro-Lopez:2010:GCH,
  author =       "Beatriz Pateiro-L{\'o}pez and Alberto
                 Rodr{\'\i}guez-Casal",
  title =        "Generalizing the Convex Hull of a Sample: The {R}
                 Package \pkg{alphahull}",
  journal =      j-J-STAT-SOFT,
  volume =       "34",
  number =       "5",
  pages =        "??--??",
  month =        apr,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v034.i05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v34/i05",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-04-03; Accepted 2009-07-07",
  xxtitle =      "Generalizing the Convex Hull of a Sample: The R
                 Package alphahull",
}

@Article{Boik:2010:RPA,
  author =       "John C. Boik and Balasubramanian Narasimhan",
  title =        "An {R} Package for Assessing Drug Synergism\slash
                 Antagonism",
  journal =      j-J-STAT-SOFT,
  volume =       "34",
  number =       "6",
  pages =        "??--??",
  month =        apr,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v034.i06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v34/i06",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-10-03; Accepted 2010-01-27",
  xxtitle =      "An R Package for Assessing Drug Synergism/Antagonism",
}

@Article{Archer:2010:RRP,
  author =       "Kellie J. Archer",
  title =        "\pkg{rpartOrdinal}: An {R} Package for Deriving a
                 Classification Tree for Predicting an Ordinal
                 Response",
  journal =      j-J-STAT-SOFT,
  volume =       "34",
  number =       "7",
  pages =        "??--??",
  month =        apr,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v034.i07",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v34/i07",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-08-07; Accepted 2010-03-18",
  xxtitle =      "{rpartOrdinal}: An R Package for Deriving a
                 Classification Tree for Predicting an Ordinal
                 Response",
}

@Article{Kuiper:2010:FPC,
  author =       "Rebecca M. Kuiper and Irene Klugkist and Herbert
                 Hoijtink",
  title =        "A {Fortran 90} Program for Confirmatory Analysis of
                 Variance",
  journal =      j-J-STAT-SOFT,
  volume =       "34",
  number =       "8",
  pages =        "??--??",
  month =        may,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v034.i08",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v34/i08",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-11-12; Accepted 2009-12-17",
  xxtitle =      "A Fortran 90 Program for Confirmatory Analysis of
                 Variance",
}

@Article{Kojadinovic:2010:MMD,
  author =       "Ivan Kojadinovic and Jun Yan",
  title =        "Modeling Multivariate Distributions with Continuous
                 Margins Using the \pkg{copula} {R} Package",
  journal =      j-J-STAT-SOFT,
  volume =       "34",
  number =       "9",
  pages =        "??--??",
  month =        may,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v034.i09",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v34/i09",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-07-07; Accepted 2010-04-23",
  xxtitle =      "Modeling Multivariate Distributions with Continuous
                 Margins Using the copula R Package",
}

@Article{Leibovici:2010:STM,
  author =       "Didier G. Leibovici",
  title =        "Spatio-Temporal Multiway Data Decomposition Using
                 Principal Tensor Analysis on $k$-Modes: The {R} Package
                 \pkg{PTAk}",
  journal =      j-J-STAT-SOFT,
  volume =       "34",
  number =       "10",
  pages =        "??--??",
  month =        may,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v034.i10",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v34/i10",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-05-08; Accepted 2009-08-19",
  xxtitle =      "Spatio-Temporal Multiway Decompositions Using
                 Principal Tensor Analysis on k -Modes: The R Package
                 {PTAk}",
}

@Article{Chausse:2010:CGM,
  author =       "Pierre Chauss{\'e}",
  title =        "Computing Generalized Method of Moments and
                 Generalized Empirical Likelihood with {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "34",
  number =       "11",
  pages =        "??--??",
  month =        may,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v034.i11",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v34/i11",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-08-26; Accepted 2010-01-29",
  xxtitle =      "Computing Generalized Method of Moments and
                 Generalized Empirical Likelihood with R",
}

@Article{Calcagno:2010:GRP,
  author =       "Vincent Calcagno and Claire de Mazancourt",
  title =        "\pkg{glmulti}: An {R} Package for Easy Automated Model
                 Selection with (Generalized) Linear Models",
  journal =      j-J-STAT-SOFT,
  volume =       "34",
  number =       "12",
  pages =        "??--??",
  month =        may,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v034.i12",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v34/i12",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-06-19; Accepted 2010-01-29",
  xxtitle =      "glmulti: An R Package for Easy Automated Model
                 Selection with (Generalized) Linear Models",
}

@Article{Valero-Mora:2010:BRB,
  author =       "Pedro M. Valero-Mora",
  title =        "Book Review: {{\booktitle{\pkg{ggplot2}: Elegant
                 Graphics for Data Analysis}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "35",
  number =       "BR-1",
  pages =        "??--??",
  month =        jul,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v035.b01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v35/b01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-07-29; Accepted 2010-07-29",
}

@Article{Dhand:2010:CSU,
  author =       "Navneet K. Dhand",
  title =        "Code Snippet: {UniLogistic}: a {SAS} Macro for
                 Descriptive and Univariable Logistic Regression
                 Analyses",
  journal =      j-J-STAT-SOFT,
  volume =       "35",
  number =       "CS-1",
  pages =        "??--??",
  month =        jul,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v035.c01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/sas.bib",
  URL =          "http://www.jstatsoft.org/v35/c01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-02-06; Accepted 2010-04-18",
}

@Article{Xia:2010:CSP,
  author =       "Xiao-Qin Xia and Michael McClelland and Yipeng Wang",
  title =        "Code Snippet: \pkg{PypeR}, a {Python} Package for
                 Using {R} in {Python}",
  journal =      j-J-STAT-SOFT,
  volume =       "35",
  number =       "CS-2",
  pages =        "??--??",
  month =        jul,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v035.c02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v35/c02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-10-23; Accepted 2010-03-23",
}

@Article{Piras:2010:SSM,
  author =       "Gianfranco Piras",
  title =        "\pkg{sphet}: Spatial Models with Heteroskedastic
                 Innovations in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "35",
  number =       "1",
  pages =        "??--??",
  month =        jun,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v035.i01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v35/i01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-10-26; Accepted 2010-03-31",
  xxtitle =      "sphet: Spatial Models with Heteroskedastic Innovations
                 in R",
}

@Article{Kim:2010:PQS,
  author =       "Hanjoo Kim and Justine Shults",
  title =        "\pkg{{\%QLS}} {SAS} Macro: a {SAS} Macro for Analysis
                 of Correlated Data Using Quasi-Least Squares",
  journal =      j-J-STAT-SOFT,
  volume =       "35",
  number =       "2",
  pages =        "??--??",
  month =        jul,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v035.i02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/sas.bib",
  URL =          "http://www.jstatsoft.org/v35/i02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-08-01; Accepted 2009-01-05",
  xxtitle =      "{\%}{QLS} {SAS} Macro: A {SAS} Macro for Analysis of
                 Correlated Data Using Quasi-Least Squares",
}

@Article{Scutari:2010:LBN,
  author =       "Marco Scutari",
  title =        "Learning {Bayesian} Networks with the \pkg{bnlearn}
                 {R} Package",
  journal =      j-J-STAT-SOFT,
  volume =       "35",
  number =       "3",
  pages =        "??--??",
  month =        jul,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v035.i03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v35/i03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-09-30; Accepted 2010-05-13",
  xxtitle =      "Learning Bayesian Networks with the bnlearn R
                 Package",
}

@Article{Patil:2010:PBS,
  author =       "Anand Patil and David Huard and Christopher J.
                 Fonnesbeck",
  title =        "\pkg{PyMC}: {Bayesian} Stochastic Modelling in
                 {Python}",
  journal =      j-J-STAT-SOFT,
  volume =       "35",
  number =       "4",
  pages =        "??--??",
  month =        jul,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v035.i04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v35/i04",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-12-22; Accepted 2010-01-22",
  xxtitle =      "{PyMC}: Bayesian Stochastic Modelling in Python",
}

@Article{Hahsler:2010:REM,
  author =       "Michael Hahsler and Margaret H. Dunham",
  title =        "\pkg{rEMM}: Extensible {Markov} Model for Data Stream
                 Clustering in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "35",
  number =       "5",
  pages =        "??--??",
  month =        jul,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v035.i05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v35/i05",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-05-26; Accepted 2010-05-10",
  xxtitle =      "{rEMM}: Extensible Markov Model for Data Stream
                 Clustering in R",
}

@Article{Hu:2010:COD,
  author =       "Jiaqiao Hu and Wei Zhu and Yi Su and Weng Kee Wong",
  title =        "Controlled Optimal Design Program for the Logit Dose
                 Response Model",
  journal =      j-J-STAT-SOFT,
  volume =       "35",
  number =       "6",
  pages =        "??--??",
  month =        jul,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v035.i06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v35/i06",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-12-04; Accepted 2009-11-20",
  xxtitle =      "Controlled Optimal Design Program for the Logit Dose
                 Response Model",
}

@Article{Santana:2010:MMP,
  author =       "Roberto Santana and Concha Bielza and Pedro
                 Larra{\~n}aga and Jose A. Lozano and Carlos Echegoyen
                 and Alexander Mendiburu and Rub{\'e}n Arma{\~n}anzas
                 and Siddartha Shakya",
  title =        "\pkg{Mateda-2.0}: a {MATLAB} Package for the
                 Implementation and Analysis of Estimation of
                 Distribution Algorithms",
  journal =      j-J-STAT-SOFT,
  volume =       "35",
  number =       "7",
  pages =        "??--??",
  month =        jul,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v035.i07",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/matlab.bib",
  URL =          "http://www.jstatsoft.org/v35/i07",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-04-15; Accepted 2009-12-17",
  xxtitle =      "Mateda-2.0: A {MATLAB} Package for the Implementation
                 and Analysis of Estimation of Distribution Algorithms",
}

@Article{Harte:2010:PRP,
  author =       "David Harte",
  title =        "\pkg{PtProcess}: An {R} Package for Modelling Marked
                 Point Processes Indexed by Time",
  journal =      j-J-STAT-SOFT,
  volume =       "35",
  number =       "8",
  pages =        "??--??",
  month =        jul,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v035.i08",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v35/i08",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-06-11; Accepted 2010-05-03",
  xxtitle =      "{PtProcess}: An R Package for Modelling Marked Point
                 Processes Indexed by Time",
}

@Article{Rizopoulos:2010:JRP,
  author =       "Dimitris Rizopoulos",
  title =        "\pkg{JM}: An {R} Package for the Joint Modelling of
                 Longitudinal and Time-to-Event Data",
  journal =      j-J-STAT-SOFT,
  volume =       "35",
  number =       "9",
  pages =        "??--??",
  month =        jul,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v035.i09",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v35/i09",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-08-31; Accepted 2010-07-07",
  xxtitle =      "{JM}: An R Package for the Joint Modelling of
                 Longitudinal and Time-to-Event Data",
}

@Article{Kohl:2010:RPD,
  author =       "Matthias Kohl and Peter Ruckdeschel",
  title =        "{R} Package \pkg{distrMod}: {S4} Classes and Methods
                 for Probability Models",
  journal =      j-J-STAT-SOFT,
  volume =       "35",
  number =       "10",
  pages =        "??--??",
  month =        jul,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v035.i10",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v35/i10",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-04-07; Accepted 2010-04-19",
  xxtitle =      "R Package {distrMod}: S 4 Classes and Methods for
                 Probability Models",
}

@Article{Liu:2010:ICR,
  author =       "Hai Liu and Kung-Sik Chan",
  title =        "Introducing {COZIGAM}: An {R} Package for
                 Unconstrained and Constrained Zero-Inflated Generalized
                 Additive Model Analysis",
  journal =      j-J-STAT-SOFT,
  volume =       "35",
  number =       "11",
  pages =        "??--??",
  month =        jul,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v035.i11",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v35/i11",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-02-25; Accepted 2009-07-13",
  xxtitle =      "Introducing {COZIGAM}: An R Package for Unconstrained
                 and Constrained Zero-Inflated Generalized Additive
                 Model Analysis",
}

@Article{Weeks:2010:PRP,
  author =       "Jonathan P. Weeks",
  title =        "\pkg{plink}: An {R} Package for Linking Mixed-Format
                 Tests Using {IRT}-Based Methods",
  journal =      j-J-STAT-SOFT,
  volume =       "35",
  number =       "12",
  pages =        "??--??",
  month =        jul,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v035.i12",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v35/i12",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-09-30; Accepted 2010-05-10",
  xxtitle =      "plink: An R Package for Linking Mixed-Format Tests
                 Using {IRT}-Based Methods",
}

@Article{Hilbe:2010:BRBb,
  author =       "Joseph Hilbe",
  title =        "Book Review: {{\booktitle{Bayesian Analysis for
                 Population Ecology}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "36",
  number =       "BR-1",
  pages =        "??--??",
  month =        aug,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v036.b01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Mon Feb 7 10:02:17 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v36/b01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-08-08; Accepted 2010-08-08",
}

@Article{Leong:2010:BRB,
  author =       "Chee Kian Leong",
  title =        "Book Review: {{\booktitle{R in a Nutshell}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "36",
  number =       "BR-2",
  pages =        "??--??",
  month =        aug,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v036.b02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Mon Feb 7 10:02:17 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v36/b02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-08-19; Accepted 2010-08-19",
}

@Article{Wickham:2010:BRBb,
  author =       "Hadley Wickham and Garrett Grolemund",
  title =        "Book Review: {{\booktitle{Graphics for Statistics and
                 Data Analysis with R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "36",
  number =       "BR-3",
  pages =        "??--??",
  month =        sep,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v036.b03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Mon Feb 7 10:02:17 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v36/b03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-09-01; Accepted 2010-09-01",
}

@Article{Hilbe:2010:BRBa,
  author =       "Joseph Hilbe",
  title =        "Book Review: {{\booktitle{Introduction to Scientific
                 Programming and Scientific Simulation Using R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "36",
  number =       "BR-4",
  pages =        "??--??",
  month =        sep,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v036.b04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Mon Feb 7 10:02:17 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v36/b04",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-09-16; Accepted 2010-09-16",
}

@Article{Derquenne:2010:BRB,
  author =       "Christian Derquenne",
  title =        "Book Review: {{\booktitle{Regression Modeling:
                 Methods, Theory, and Computation with SAS}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "36",
  number =       "BR-5",
  pages =        "??--??",
  month =        sep,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v036.b05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Mon Feb 7 10:02:17 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v36/b05",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-09-21; Accepted 2010-09-21",
}

@Article{Sanchez:2010:BRBb,
  author =       "Juana Sanchez",
  title =        "Book Review: {{\booktitle{Data Analysis and Graphics
                 Using R --- An Example-Based Approach}} (3rd
                 Edition)}",
  journal =      j-J-STAT-SOFT,
  volume =       "36",
  number =       "BR-6",
  pages =        "??--??",
  month =        sep,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v036.b06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Mon Feb 7 10:02:17 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v36/b06",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-09-21; Accepted 2010-09-21",
}

@Article{Curtis:2010:CSB,
  author =       "S. McKay Curtis",
  title =        "Code Snippet: {BUGS} Code for Item Response Theory",
  journal =      j-J-STAT-SOFT,
  volume =       "36",
  number =       "CS-1",
  pages =        "??--??",
  month =        aug,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v036.c01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Mon Feb 7 10:02:17 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v36/c01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-03-30; Accepted 2010-07-07",
}

@Article{Ferstl:2010:ZCY,
  author =       "Robert Ferstl and Josef Hayden",
  title =        "Zero-Coupon Yield Curve Estimation with the Package
                 \pkg{termstrc}",
  journal =      j-J-STAT-SOFT,
  volume =       "36",
  number =       "1",
  pages =        "??--??",
  month =        aug,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v036.i01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v36/i01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-01-21; Accepted 2010-06-06",
  xxtitle =      "Zero-Coupon Yield Curve Estimation with the Package
                 termstrc",
}

@Article{Fay:2010:EAW,
  author =       "Michael P. Fay and Pamela A. Shaw",
  title =        "Exact and Asymptotic Weighted Logrank Tests for
                 Interval Censored Data: The \pkg{interval} {R}
                 Package",
  journal =      j-J-STAT-SOFT,
  volume =       "36",
  number =       "2",
  pages =        "??--??",
  month =        aug,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v036.i02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v36/i02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-04-02; Accepted 2010-03-18",
  xxtitle =      "Exact and Asymptotic Weighted Logrank Tests for
                 Interval Censored Data: The interval R Package",
}

@Article{Viechtbauer:2010:CMA,
  author =       "Wolfgang Viechtbauer",
  title =        "Conducting Meta-Analyses in {R} with the \pkg{metafor}
                 Package",
  journal =      j-J-STAT-SOFT,
  volume =       "36",
  number =       "3",
  pages =        "??--??",
  month =        aug,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v036.i03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v36/i03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-09-16; Accepted 2010-06-24",
  xxtitle =      "Conducting Meta-Analyses in R with the metafor
                 Package",
}

@Article{Brouste:2010:SMI,
  author =       "Alexandre Brouste and Jacques Istas and Sophie
                 Lambert-Lacroix",
  title =        "On Simulation of Manifold Indexed Fractional
                 {Gaussian} Fields",
  journal =      j-J-STAT-SOFT,
  volume =       "36",
  number =       "4",
  pages =        "??--??",
  month =        aug,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v036.i04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v36/i04",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-10-02; Accepted 2010-06-06",
  xxtitle =      "On Simulation of Manifold Indexed Fractional Gaussian
                 Fields",
}

@Article{Young:2010:TRP,
  author =       "Derek S. Young",
  title =        "\pkg{tolerance}: An {R} Package for Estimating
                 Tolerance Intervals",
  journal =      j-J-STAT-SOFT,
  volume =       "36",
  number =       "5",
  pages =        "??--??",
  month =        aug,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v036.i05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v36/i05",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-07-01; Accepted 2010-06-24",
  xxtitle =      "tolerance: An R Package for Estimating Tolerance
                 Intervals",
}

@Article{Merl:2010:ARP,
  author =       "Daniel Merl and Leah R. Johnson and Robert B. Gramacy
                 and Marc Mangel",
  title =        "\pkg{amei}: An {R} Package for the Adaptive Management
                 of Epidemiological Interventions",
  journal =      j-J-STAT-SOFT,
  volume =       "36",
  number =       "6",
  pages =        "??--??",
  month =        aug,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v036.i06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v36/i06",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-06-22; Accepted 2010-06-24",
  xxtitle =      "amei: An R Package for the Adaptive Management of
                 Epidemiological Interventions",
}

@Article{Visser:2010:DRP,
  author =       "Ingmar Visser and Maarten Speekenbrink",
  title =        "\pkg{depmixS4}: An {R} Package for Hidden {Markov}
                 Models",
  journal =      j-J-STAT-SOFT,
  volume =       "36",
  number =       "7",
  pages =        "??--??",
  month =        aug,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v036.i07",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Wed Aug 25 09:57:41 MDT 2010",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v36/i07",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-08-19; Accepted 2010-06-21",
  xxtitle =      "{depmixS}4: An R Package for Hidden Markov Models",
}

@Article{Glaab:2010:VRP,
  author =       "Enrico Glaab and Jonathan M. Garibaldi and Natalio
                 Krasnogor",
  title =        "\pkg{vrmlgen}: An {R} Package for {$3$D} Data
                 Visualization on the {Web}",
  journal =      j-J-STAT-SOFT,
  volume =       "36",
  number =       "8",
  pages =        "??--??",
  month =        aug,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v036.i08",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Mon Feb 7 10:02:17 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v36/i08",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-11-25; Accepted 2010-06-06",
  xxtitle =      "vrmlgen: An R Package for 3D Data Visualization on the
                 Web",
}

@Article{Iam-on:2010:LMP,
  author =       "Natthakan Iam-on and Simon Garrett",
  title =        "\pkg{LinkCluE}: a {MATLAB} Package for Link-Based
                 Cluster Ensembles",
  journal =      j-J-STAT-SOFT,
  volume =       "36",
  number =       "9",
  pages =        "??--??",
  month =        aug,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v036.i09",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Mon Feb 7 10:02:17 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/matlab.bib",
  URL =          "http://www.jstatsoft.org/v36/i09",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-05-11; Accepted 2010-06-24",
  xxtitle =      "{LinkCluE}: A {MATLAB} Package for Link-Based Cluster
                 Ensembles",
}

@Article{Furrer:2010:SSM,
  author =       "Reinhard Furrer and Stephan R. Sain",
  title =        "\pkg{spam}: a Sparse Matrix {R} Package with Emphasis
                 on {MCMC} Methods for {Gaussian Markov} Random Fields",
  journal =      j-J-STAT-SOFT,
  volume =       "36",
  number =       "10",
  pages =        "??--??",
  month =        sep,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v036.i10",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Mon Feb 7 10:02:17 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v36/i10",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-07-04; Accepted 2010-05-31",
  xxtitle =      "spam: A Sparse Matrix R Package with Emphasis on
                 {MCMC} Methods for Gaussian Markov Random Fields",
}

@Article{Kursa:2010:FSB,
  author =       "Miron B. Kursa and Witold R. Rudnicki",
  title =        "Feature Selection with the \pkg{Boruta} Package",
  journal =      j-J-STAT-SOFT,
  volume =       "36",
  number =       "11",
  pages =        "??--??",
  month =        sep,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v036.i11",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Mon Feb 7 10:02:17 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v36/i11",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-12-03; Accepted 2010-07-29",
  xxtitle =      "Feature Selection with the Boruta Package",
}

@Article{Petris:2010:RPD,
  author =       "Giovanni Petris",
  title =        "An {R} Package for Dynamic Linear Models",
  journal =      j-J-STAT-SOFT,
  volume =       "36",
  number =       "12",
  pages =        "??--??",
  month =        oct,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v036.i12",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Mon Feb 7 10:02:17 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v36/i12",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-04-20; Accepted 2010-03-05",
  xxtitle =      "An R Package for Dynamic Linear Models",
}

@Article{Bowman:2010:ITT,
  author =       "Adrian W. Bowman and Iain Gibson and Ewan Marian Scott
                 and Ewan Crawford",
  title =        "Interactive Teaching Tools for Spatial Sampling",
  journal =      j-J-STAT-SOFT,
  volume =       "36",
  number =       "13",
  pages =        "??--??",
  month =        oct,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v036.i13",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Mon Feb 7 10:02:17 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v36/i13",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2008-12-15; Accepted 2010-02-03",
  xxtitle =      "Interactive Teaching Tools for Spatial Sampling",
}

@Article{Hamilton:2010:BRB,
  author =       "Cody Hamilton",
  title =        "Book Review: {{\booktitle{Bayesian Adaptive Methods
                 for Clinical Trials}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "37",
  number =       "BR-1",
  pages =        "??--??",
  month =        nov,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v037.b01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Mon Feb 7 10:00:59 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v37/b01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-11-08; Accepted 2010-11-08",
}

@Article{Gromping:2010:BRB,
  author =       "Ulrike Gr{\"o}mping",
  title =        "Book Review: {{\booktitle{Design and Analysis of
                 Experiments with SAS}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "37",
  number =       "BR-2",
  pages =        "??--??",
  month =        dec,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v037.b02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Mon Feb 7 10:00:59 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v37/b02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-12-18; Accepted 2010-12-18",
}

@Article{Ooms:2010:BRB,
  author =       "Jeroen Ooms",
  title =        "Book Review: {{\booktitle{SAS and R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "37",
  number =       "BR-3",
  pages =        "??--??",
  month =        dec,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v037.b03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Mon Feb 7 10:00:59 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib;
                 http://www.math.utah.edu/pub/tex/bib/sas.bib",
  URL =          "http://www.jstatsoft.org/v37/b03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2011-01-03; Accepted 2011-01-03",
}

@Article{Abreu:2010:HDG,
  author =       "Gabriel C. G. Abreu and David Edwards and Rodrigo
                 Labouriau",
  title =        "High-Dimensional Graphical Model Search with the
                 \pkg{gRapHD} {R} Package",
  journal =      j-J-STAT-SOFT,
  volume =       "37",
  number =       "1",
  pages =        "??--??",
  month =        nov,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v037.i01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Mon Feb 7 10:00:59 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v37/i01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-08-19; Accepted 2010-08-23",
  xxtitle =      "High-Dimensional Graphical Model Search with the
                 {gRapHD} R Package",
}

@Article{Unlu:2010:PDR,
  author =       "Ali {\"U}nl{\"u} and Anatol Sargin",
  title =        "\pkg{DAKS}: An {R} Package for Data Analysis Methods
                 in Knowledge Space Theory",
  journal =      j-J-STAT-SOFT,
  volume =       "37",
  number =       "2",
  pages =        "??--??",
  month =        nov,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v037.i02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Mon Feb 7 10:00:59 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v37/i02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-03-22; Accepted 2010-08-20",
  xxtitle =      "{DAKS}: An R Package for Data Analysis Methods in
                 Knowledge Space Theory",
}

@Article{Alfons:2010:OOF,
  author =       "Andreas Alfons and Matthias Templ and Peter
                 Filzmoser",
  title =        "An Object-Oriented Framework for Statistical
                 Simulation: The {R} Package \pkg{simFrame}",
  journal =      j-J-STAT-SOFT,
  volume =       "37",
  number =       "3",
  pages =        "??--??",
  month =        nov,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v037.i03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Mon Feb 7 10:00:59 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v37/i03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-08-31; Accepted 2010-09-24",
  xxtitle =      "An Object-Oriented Framework for Statistical
                 Simulation: The R Package {simFrame}",
}

@Article{Friendly:2010:PRM,
  author =       "Michael Friendly",
  title =        "{HE} Plots for Repeated Measures Designs",
  journal =      j-J-STAT-SOFT,
  volume =       "37",
  number =       "4",
  pages =        "??--??",
  month =        nov,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v037.i04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Mon Feb 7 10:00:59 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v37/i04",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-12-22; Accepted 2010-06-19",
  xxtitle =      "{HE} Plots for Repeated Measures Designs",
}

@Article{Marley:2010:NSS,
  author =       "Jennifer K. Marley and Matthew P. Wand",
  title =        "Non-Standard Semiparametric Regression via {BRugs}",
  journal =      j-J-STAT-SOFT,
  volume =       "37",
  number =       "5",
  pages =        "??--??",
  month =        nov,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v037.i05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Mon Feb 7 10:00:59 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v37/i05",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-06-15; Accepted 2010-06-21",
  xxtitle =      "Non-Standard Semiparametric Regression via {BRugs}",
}

@Article{Almquist:2010:UCS,
  author =       "Zack W. Almquist",
  title =        "{US} Census Spatial and Demographic Data in {R}: The
                 \pkg{UScensus2000} Suite of Packages",
  journal =      j-J-STAT-SOFT,
  volume =       "37",
  number =       "6",
  pages =        "??--??",
  month =        nov,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v037.i06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Mon Feb 7 10:00:59 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v37/i06",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-01-29; Accepted 2010-10-04",
  xxtitle =      "{US} Census Spatial and Demographic Data in R: The
                 {UScensus}2000 Suite of Packages",
}

@Article{Moreira:2010:DRP,
  author =       "Carla Moreira and Jacobo de U{\~n}a-{\'A}lvarez and
                 Rosa M. Crujeiras",
  title =        "\pkg{DTDA}: An {R} Package to Analyze Randomly
                 Truncated Data",
  journal =      j-J-STAT-SOFT,
  volume =       "37",
  number =       "7",
  pages =        "??--??",
  month =        nov,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v037.i07",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Mon Feb 7 10:00:59 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v37/i07",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-12-11; Accepted 2010-07-07",
  xxtitle =      "{DTDA}: An R Package to Analyze Randomly Truncated
                 Data",
}

@Article{Lawrence:2010:RGU,
  author =       "Michael Lawrence and Duncan Temple Lang",
  title =        "{RGtk2}: a Graphical User Interface Toolkit for {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "37",
  number =       "8",
  pages =        "??--??",
  month =        dec,
  year =         "2010",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v037.i08",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Mon Feb 7 10:00:59 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v37/i08",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-01-30; Accepted 2009-09-23",
  xxtitle =      "{RGtk}2: A Graphical User Interface Toolkit for R",
}

@Article{Putter:2011:SIA,
  author =       "Hein Putter",
  title =        "Special Issue about Competing Risks and Multi-State
                 Models",
  journal =      j-J-STAT-SOFT,
  volume =       "38",
  number =       "1",
  pages =        "??--??",
  month =        jan,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v038.i01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Mon Feb 7 10:00:59 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v38/i01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2011-01-03; Accepted 2011-01-03",
  xxtitle =      "Special Issue about Competing Risks and Multi-State
                 Models",
}

@Article{Scheike:2011:ACR,
  author =       "Thomas H. Scheike and Mei-Jie Zhang",
  title =        "Analyzing Competing Risk Data Using the {R}
                 \pkg{timereg} Package",
  journal =      j-J-STAT-SOFT,
  volume =       "38",
  number =       "2",
  pages =        "??--??",
  month =        jan,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v038.i02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Mon Feb 7 10:00:59 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v38/i02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-05-25; Accepted 2010-06-22",
  xxtitle =      "Analyzing Competing Risk Data Using the R timereg
                 Package",
}

@Article{Meira-Machado:2011:PPM,
  author =       "Lu{\'\i}s Meira-Machado and Javier Roca-Pardi{\~n}as",
  title =        "\pkg{p3state.msm}: Analyzing Survival Data from an
                 Illness-Death Model",
  journal =      j-J-STAT-SOFT,
  volume =       "38",
  number =       "3",
  pages =        "??--??",
  month =        jan,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v038.i03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Mon Feb 7 10:00:59 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v38/i03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-06-30; Accepted 2010-03-02",
  xxtitle =      "p3state.msm: Analyzing Survival Data from an
                 Illness-Death Model",
}

@Article{Allignol:2011:ETM,
  author =       "Arthur Allignol and Martin Schumacher and Jan
                 Beyersmann",
  title =        "Empirical Transition Matrix of Multi-State Models: The
                 \pkg{etm} Package",
  journal =      j-J-STAT-SOFT,
  volume =       "38",
  number =       "4",
  pages =        "??--??",
  month =        jan,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v038.i04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Mon Feb 7 10:00:59 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v38/i04",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-01-08; Accepted 2010-03-11",
  xxtitle =      "Empirical Transition Matrix of Multi-State Models: The
                 etm Package",
}

@Article{Plummer:2011:LRC,
  author =       "Martyn Plummer and Bendix Carstensen",
  title =        "{Lexis}: An {R} Class for Epidemiological Studies with
                 Long-Term Follow-Up",
  journal =      j-J-STAT-SOFT,
  volume =       "38",
  number =       "5",
  pages =        "??--??",
  month =        jan,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v038.i05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Mon Feb 7 10:00:59 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v38/i05",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-02-09; Accepted 2010-09-16",
  xxtitle =      "Lexis: An R Class for Epidemiological Studies with
                 Long-Term Follow-Up",
}

@Article{Carstensen:2011:ULO,
  author =       "Bendix Carstensen and Martyn Plummer",
  title =        "Using {Lexis} Objects for Multi-State Models in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "38",
  number =       "6",
  pages =        "??--??",
  month =        jan,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v038.i06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Mon Feb 7 10:00:59 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v38/i06",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-02-09; Accepted 2010-09-16",
  xxtitle =      "Using Lexis Objects for Multi-State Models in R",
}

@Article{deWreede:2011:MRP,
  author =       "Liesbeth C. de Wreede and Marta Fiocco and Hein
                 Putter",
  title =        "\pkg{mstate}: An {R} Package for the Analysis of
                 Competing Risks and Multi-State Models",
  journal =      j-J-STAT-SOFT,
  volume =       "38",
  number =       "7",
  pages =        "??--??",
  month =        jan,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v038.i07",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Mon Feb 7 10:00:59 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v38/i07",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-01-17; Accepted 2010-08-20",
  xxtitle =      "mstate: An R Package for the Analysis of Competing
                 Risks and Multi-State Models",
}

@Article{Jackson:2011:MSM,
  author =       "Christopher H. Jackson",
  title =        "Multi-State Models for Panel Data: The \pkg{msm}
                 Package for {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "38",
  number =       "8",
  pages =        "??--??",
  month =        jan,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v038.i08",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Mon Feb 7 10:00:59 MST 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v38/i08",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-07-21; Accepted 2010-08-18",
  xxtitle =      "Multi-State Models for Panel Data: The msm Package for
                 R",
}

@Article{Christou:2011:BRB,
  author =       "Nicolas Christou",
  title =        "Book Review: {{\booktitle{Statistical Methods in
                 e-Commerce Research}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "39",
  number =       "BR-1",
  pages =        "??--??",
  month =        mar,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v039.b01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:21:59 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v39/b01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2011-03-01; Accepted 2011-03-01",
}

@Article{Hoffmann:2011:CSP,
  author =       "Thomas J. Hoffmann",
  title =        "Code Snippet: Passing in Command Line Arguments and
                 Parallel Cluster\slash Multicore Batching in {R} with
                 \pkg{batch}",
  journal =      j-J-STAT-SOFT,
  volume =       "39",
  number =       "CS-1",
  pages =        "??--??",
  month =        mar,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v039.c01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:21:59 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v39/c01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-12-16; Accepted 2010-08-09",
}

@Article{Beliakov:2011:CSF,
  author =       "Gleb Beliakov",
  title =        "Code Snippet: Fast Computation of Trimmed Means",
  journal =      j-J-STAT-SOFT,
  volume =       "39",
  number =       "CS-2",
  pages =        "??--??",
  month =        mar,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v039.c02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:21:59 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v39/c02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-06-07; Accepted 2010-10-28",
}

@Article{Davies:2011:SAS,
  author =       "Tilman M. Davies and Martin L. Hazelton and Jonathan
                 C. Marshall",
  title =        "\pkg{sparr}: Analyzing Spatial Relative Risk Using
                 Fixed and Adaptive Kernel Density Estimation in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "39",
  number =       "1",
  pages =        "??--??",
  month =        mar,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v039.i01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:21:59 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v39/i01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-05-02; Accepted 2010-08-10",
  xxtitle =      "sparr: Analyzing Spatial Relative Risk Using Fixed and
                 Adaptive Kernel Density Estimation in R",
}

@Article{Tusell:2011:KFR,
  author =       "Fernando Tusell",
  title =        "{Kalman} Filtering in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "39",
  number =       "2",
  pages =        "??--??",
  month =        mar,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v039.i02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:21:59 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v39/i02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-01-12; Accepted 2010-08-17",
  xxtitle =      "Kalman Filtering in R",
}

@Article{Cook:2011:LPL,
  author =       "R. Dennis Cook and Liliana M. Forzani and Diego R.
                 Tomassi",
  title =        "{LDR}: a Package for Likelihood-Based Sufficient
                 Dimension Reduction",
  journal =      j-J-STAT-SOFT,
  volume =       "39",
  number =       "3",
  pages =        "??--??",
  month =        mar,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v039.i03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:21:59 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v39/i03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-08-27; Accepted 2010-09-11",
  xxtitle =      "{LDR}: A Package for Likelihood-Based Sufficient
                 Dimension Reduction",
}

@Article{OConnell:2011:HSM,
  author =       "Jared O'Connell and S{\o}ren H{\o}jsgaard",
  title =        "Hidden Semi {Markov} Models for Multiple Observation
                 Sequences: The \pkg{mhsmm} Package for {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "39",
  number =       "4",
  pages =        "??--??",
  month =        mar,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v039.i04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:21:59 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v39/i04",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-03-02; Accepted 2010-09-29",
  xxtitle =      "Hidden Semi Markov Models for Multiple Observation
                 Sequences: The mhsmm Package for R",
}

@Article{Simon:2011:RPC,
  author =       "Noah Simon and Jerome H. Friedman and Trevor Hastie
                 and Rob Tibshirani",
  title =        "Regularization Paths for {Cox}'s {Proportional Hazards
                 Model} via Coordinate Descent",
  journal =      j-J-STAT-SOFT,
  volume =       "39",
  number =       "5",
  pages =        "??--??",
  month =        mar,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v039.i05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:21:59 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v39/i05",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-06-15; Accepted 2010-10-02",
  xxtitle =      "Regularization Paths for Cox's Proportional Hazards
                 Model via Coordinate Descent",
}

@Article{Dumbgen:2011:PLC,
  author =       "Lutz D{\"u}mbgen and Kaspar Rufibach",
  title =        "\pkg{logcondens}: Computations Related to Univariate
                 Log-Concave Density Estimation",
  journal =      j-J-STAT-SOFT,
  volume =       "39",
  number =       "6",
  pages =        "??--??",
  month =        mar,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v039.i06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:21:59 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v39/i06",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-12-11; Accepted 2010-10-06",
  xxtitle =      "logcondens: Computations Related to Univariate
                 Log-Concave Density Estimation",
}

@Article{Dinges:2011:OSA,
  author =       "Gerlinde Dinges and Alexander Kowarik and Bernhard
                 Meindl and Matthias Templ",
  title =        "An Open Source Approach for Modern Teaching Methods:
                 The Interactive {TGUI} System",
  journal =      j-J-STAT-SOFT,
  volume =       "39",
  number =       "7",
  pages =        "??--??",
  month =        mar,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v039.i07",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:21:59 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v39/i07",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-11-19; Accepted 2010-04-23",
  xxtitle =      "An Open Source Approach for Modern Teaching Methods:
                 The Interactive {TGUI} System",
}

@Article{Choi:2011:LRP,
  author =       "Seung W. Choi and Laura E. Gibbons and Paul K. Crane",
  title =        "\pkg{lordif}: An {R} Package for Detecting
                 Differential Item Functioning Using Iterative Hybrid
                 Ordinal Logistic Regression\slash Item Response Theory
                 and {Monte Carlo} Simulations",
  journal =      j-J-STAT-SOFT,
  volume =       "39",
  number =       "8",
  pages =        "??--??",
  month =        mar,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v039.i08",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:21:59 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v39/i08",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-02-02; Accepted 2010-10-23",
  xxtitle =      "lordif: An R Package for Detecting Differential Item
                 Functioning Using Iterative Hybrid Ordinal Logistic
                 Regression/Item Response Theory and Monte Carlo
                 Simulations",
}

@Article{Hofert:2011:NAC,
  author =       "Marius Hofert and Martin M{\"a}chler",
  title =        "Nested {Archimedean} Copulas Meet {R}: The
                 \pkg{nacopula} Package",
  journal =      j-J-STAT-SOFT,
  volume =       "39",
  number =       "9",
  pages =        "??--??",
  month =        mar,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v039.i09",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:21:59 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v39/i09",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-07-01; Accepted 2010-11-15",
  xxtitle =      "Nested Archimedean Copulas Meet R: The nacopula
                 Package",
}

@Article{Wang:2011:DEM,
  author =       "Xiao-Feng Wang and Bin Wang",
  title =        "Deconvolution Estimation in Measurement Error Models:
                 The {R} Package \pkg{decon}",
  journal =      j-J-STAT-SOFT,
  volume =       "39",
  number =       "10",
  pages =        "??--??",
  month =        mar,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v039.i10",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:21:59 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v39/i10",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-03-21; Accepted 2010-11-04",
  xxtitle =      "Deconvolution Estimation in Measurement Error Models:
                 The R Package decon",
}

@Article{Simard:2011:CTS,
  author =       "Richard Simard and Pierre L'Ecuyer",
  title =        "Computing the Two-Sided {Kolmogorov--Smirnov}
                 Distribution",
  journal =      j-J-STAT-SOFT,
  volume =       "39",
  number =       "11",
  pages =        "1--18",
  month =        mar,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v039.i11",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:21:59 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v39/i11",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-03-17; Accepted 2010-12-13",
  xxtitle =      "Computing the Two-Sided Kolmogorov-Smirnov
                 Distribution",
}

@Article{DeBoeck:2011:EIR,
  author =       "Paul {De Boeck} and Marjan Bakker and Robert Zwitser
                 and Michel Nivard and Abe Hofman and Francis Tuerlinckx
                 and Ivailo Partchev",
  title =        "The Estimation of Item Response Models with the
                 \pkg{lmer} Function from the \pkg{lme4} Package in
                 {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "39",
  number =       "12",
  pages =        "??--??",
  month =        mar,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v039.i12",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:21:59 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v39/i12",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-07-01; Accepted 2010-12-13",
  xxtitle =      "The Estimation of Item Response Models with the lmer
                 Function from the lme4 Package in R",
}

@Article{Molas:2011:HGL,
  author =       "Marek Molas and Emmanuel Lesaffre",
  title =        "Hierarchical Generalized Linear Models: The {R}
                 Package \pkg{HGLMMM}",
  journal =      j-J-STAT-SOFT,
  volume =       "39",
  number =       "13",
  pages =        "??--??",
  month =        mar,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v039.i13",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:21:59 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v39/i13",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-03-03; Accepted 2010-12-06",
  xxtitle =      "Hierarchical Generalized Linear Models: The R Package
                 {HGLMMM}",
}

@Article{Eddelbuettel:2011:BRB,
  author =       "Dirk Eddelbuettel",
  title =        "Book Review: {{\booktitle{R in a Nutshell}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "40",
  number =       "BR-1",
  pages =        "??--??",
  month =        apr,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v040.b01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:22:01 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v40/b01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2011-04-04; Accepted 2011-04-04",
}

@Article{Evans:2011:BRB,
  author =       "Gary Evans",
  title =        "Book Review: {{\booktitle{Exploratory Multivariate
                 Analysis by Example Using R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "40",
  number =       "BR-2",
  pages =        "??--??",
  month =        apr,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v040.b02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:22:01 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v40/b02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2011-04-20; Accepted 2011-04-20",
}

@Article{Howard:2011:BRB,
  author =       "James P. Howard",
  title =        "Book Review: {{\booktitle{R Cookbook}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "40",
  number =       "BR-3",
  pages =        "??--??",
  month =        apr,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v040.b03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:22:01 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v40/b03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2011-04-27; Accepted 2011-04-27",
}

@Article{Wickham:2011:SAC,
  author =       "Hadley Wickham",
  title =        "The Split-Apply-Combine Strategy for Data Analysis",
  journal =      j-J-STAT-SOFT,
  volume =       "40",
  number =       "1",
  pages =        "??--??",
  month =        apr,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v040.i01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:22:01 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v40/i01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-09-24; Accepted 2010-12-27",
  xxtitle =      "The Split-Apply-Combine Strategy for Data Analysis",
}

@Article{Wickham:2011:TRP,
  author =       "Hadley Wickham and Dianne Cook and Heike Hofmann and
                 Andreas Buja",
  title =        "\pkg{tourr}: An {R} Package for Exploring Multivariate
                 Data with Projections",
  journal =      j-J-STAT-SOFT,
  volume =       "40",
  number =       "2",
  pages =        "??--??",
  month =        apr,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v040.i02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:22:01 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v40/i02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-01-31; Accepted 2010-10-07",
  xxtitle =      "tourr: An R Package for Exploring Multivariate Data
                 with Projections",
}

@Article{Grolemund:2011:DTM,
  author =       "Garrett Grolemund and Hadley Wickham",
  title =        "Dates and Times Made Easy with \pkg{lubridate}",
  journal =      j-J-STAT-SOFT,
  volume =       "40",
  number =       "3",
  pages =        "??--??",
  month =        apr,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v040.i03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:22:01 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v40/i03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-07-23; Accepted 2010-11-29",
  xxtitle =      "Dates and Times Made Easy with lubridate",
}

@Article{Gabadinho:2011:AVS,
  author =       "Alexis Gabadinho and Gilbert Ritschard and Nicolas S.
                 M{\"u}ller and Matthias Studer",
  title =        "Analyzing and Visualizing State Sequences in {R} with
                 \pkg{TraMineR}",
  journal =      j-J-STAT-SOFT,
  volume =       "40",
  number =       "4",
  pages =        "??--??",
  month =        apr,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v040.i04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:22:01 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v40/i04",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-08-12; Accepted 2011-01-03",
  xxtitle =      "Analyzing and Visualizing State Sequences in R with
                 {TraMineR}",
}

@Article{Jara:2011:DBS,
  author =       "Alejandro Jara and Timothy E. Hanson and Fernando A.
                 Quintana and Peter M{\"u}ller and Gary L. Rosner",
  title =        "\pkg{DPpackage}: {Bayesian} Semi- and Nonparametric
                 Modeling in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "40",
  number =       "5",
  pages =        "??--??",
  month =        apr,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v040.i05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:22:01 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v40/i05",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-10-28; Accepted 2010-12-27",
  xxtitle =      "{DPpackage}: Bayesian Semi- and Nonparametric Modeling
                 in R",
}

@Article{Mullen:2011:DRP,
  author =       "Katharine M. Mullen and David Ardia and David L. Gil
                 and Donald Windover and James Cline",
  title =        "\pkg{DEoptim}: An {R} Package for Global Optimization
                 by Differential Evolution",
  journal =      j-J-STAT-SOFT,
  volume =       "40",
  number =       "6",
  pages =        "??--??",
  month =        apr,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v040.i06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:22:01 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v40/i06",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-03-27; Accepted 2011-02-04",
  xxtitle =      "{DEoptim}: An R Package for Global Optimization by
                 Differential Evolution",
}

@Article{Taylor:2011:RPW,
  author =       "Julian Taylor and Arunas Verbyla",
  title =        "{R} Package wgaim: {QTL} Analysis in Bi-Parental
                 Populations Using Linear Mixed Models",
  journal =      j-J-STAT-SOFT,
  volume =       "40",
  number =       "7",
  pages =        "??--??",
  month =        apr,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v040.i07",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:22:01 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v40/i07",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-07-13; Accepted 2011-02-25",
  xxtitle =      "R Package wgaim: {QTL} Analysis in Bi-Parental
                 Populations Using Linear Mixed Models",
}

@Article{Eddelbuettel:2011:RSR,
  author =       "Dirk Eddelbuettel and Romain Fran{\c{c}}ois",
  title =        "\pkg{Rcpp}: Seamless {R} and {C++} Integration",
  journal =      j-J-STAT-SOFT,
  volume =       "40",
  number =       "8",
  pages =        "1--18",
  month =        apr,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v040.i08",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:22:01 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v40/i08",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-11-15; Accepted 2011-03-21",
}

@Article{Wang:2011:SRP,
  author =       "Ji-Ping Wang",
  title =        "{SPECIES}: An {R} Package for Species Richness
                 Estimation",
  journal =      j-J-STAT-SOFT,
  volume =       "40",
  number =       "9",
  pages =        "??--??",
  month =        apr,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v040.i09",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:22:01 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v40/i09",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-03-11; Accepted 2011-03-27",
  xxtitle =      "{SPECIES}: An R Package for Species Richness
                 Estimation",
}

@Article{Culp:2011:SSS,
  author =       "Mark Culp",
  title =        "\pkg{spa}: Semi-Supervised Semi-Parametric Graph-Based
                 Estimation in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "40",
  number =       "10",
  pages =        "??--??",
  month =        apr,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v040.i10",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:22:01 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v40/i10",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-07-23; Accepted 2010-01-11",
  xxtitle =      "spa: A Semi-Supervised R Package for Semi-Parametric
                 Graph-Based Estimation",
}

@Article{Zarraga:2011:SAP,
  author =       "Amaya Z{\'a}rraga and Beatriz Goitisolo",
  title =        "Simultaneous Analysis in {S-PLUS}: The \pkg{SimultAn}
                 Package",
  journal =      j-J-STAT-SOFT,
  volume =       "40",
  number =       "11",
  pages =        "??--??",
  month =        apr,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v040.i11",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:22:01 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v40/i11",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-07-22; Accepted 2011-04-13",
  xxtitle =      "Simultaneous Analysis in S-{PLUS}: The {SimultAn}
                 Package",
}

@Article{Scharpf:2011:URP,
  author =       "Robert B. Scharpf and Rafael A. Irizarry and Matthew
                 E. Ritchie and Benilton Carvalho and Ingo Ruczinski",
  title =        "Using the {R} Package \pkg{crlmm} for Genotyping and
                 Copy Number Estimation",
  journal =      j-J-STAT-SOFT,
  volume =       "40",
  number =       "12",
  pages =        "??--??",
  month =        may,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v040.i12",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:22:01 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v40/i12",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-09-09; Accepted 2011-04-18",
  xxtitle =      "Using the R Package crlmm for Genotyping and Copy
                 Number Estimation",
}

@Article{Grun:2011:PTR,
  author =       "Bettina Gr{\"u}n and Kurt Hornik",
  title =        "\pkg{topicmodels}: An {R} Package for Fitting Topic
                 Models",
  journal =      j-J-STAT-SOFT,
  volume =       "40",
  number =       "13",
  pages =        "??--??",
  month =        may,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v040.i13",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:22:01 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v40/i13",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-09-23; Accepted 2011-04-26",
  xxtitle =      "topicmodels: An R Package for Fitting Topic Models",
}

@Article{Causeur:2011:FAM,
  author =       "David Causeur and Chloe Friguet and Magalie
                 Houee-Bigot and Maela Kloareg",
  title =        "Factor Analysis for Multiple Testing ({FAMT}): An {R}
                 Package for Large-Scale Significance Testing under
                 Dependence",
  journal =      j-J-STAT-SOFT,
  volume =       "40",
  number =       "14",
  pages =        "??--??",
  month =        may,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v040.i14",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:22:01 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v40/i14",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-07-09; Accepted 2011-04-01",
  xxtitle =      "Factor Analysis for Multiple Testing ( {FAMT} ): An R
                 Package for Large-Scale Significance Testing under
                 Dependence",
}

@Article{Commandeur:2011:SSS,
  author =       "Jacques J. F. Commandeur and Siem Jan Koopman and
                 Marius Ooms",
  title =        "Statistical Software for State Space Methods",
  journal =      j-J-STAT-SOFT,
  volume =       "41",
  number =       "1",
  pages =        "??--??",
  month =        may,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v041.i01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:22:03 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v41/i01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-08-22; Accepted 2010-12-20",
  xxtitle =      "Statistical Software for State Space Methods",
}

@Article{Mendelssohn:2011:SSS,
  author =       "Roy Mendelssohn",
  title =        "The {STAMP} Software for State Space Models",
  journal =      j-J-STAT-SOFT,
  volume =       "41",
  number =       "2",
  pages =        "??--??",
  month =        may,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v041.i02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:22:03 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v41/i02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-01-15; Accepted 2010-12-20",
  xxtitle =      "The {STAMP} Software for State Space Models",
}

@Article{Pelagatti:2011:SSM,
  author =       "Matteo M. Pelagatti",
  title =        "State Space Methods in \pkg{Ox\slash SsfPack}",
  journal =      j-J-STAT-SOFT,
  volume =       "41",
  number =       "3",
  pages =        "??--??",
  month =        may,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v041.i03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:22:03 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v41/i03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-01-15; Accepted 2010-11-11",
  xxtitle =      "State Space Methods in Ox / {SsfPack}",
}

@Article{Petris:2011:SSM,
  author =       "Giovanni Petris and Sonia Petrone",
  title =        "State Space Models in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "41",
  number =       "4",
  pages =        "??--??",
  month =        may,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v041.i04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:22:03 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v41/i04",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-01-26; Accepted 2010-11-10",
  xxtitle =      "State Space Models in R",
}

@Article{Zivot:2011:SSM,
  author =       "Eric W. Zivot",
  title =        "State Space Modeling Using \pkg{SsfPack} in
                 {S+FinMetrics 3.0}",
  journal =      j-J-STAT-SOFT,
  volume =       "41",
  number =       "5",
  pages =        "??--??",
  month =        may,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v041.i05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:22:03 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v41/i05",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-01-25; Accepted 2010-11-18",
  xxtitle =      "State Space Modeling Using {SsfPack} in
                 S$\mathplus${FinMetrics} 3.0",
}

@Article{Peng:2011:SSM,
  author =       "Jyh-Ying Peng and John A. D. Aston",
  title =        "The State Space Models Toolbox for {MATLAB}",
  journal =      j-J-STAT-SOFT,
  volume =       "41",
  number =       "6",
  pages =        "??--??",
  month =        may,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v041.i06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:22:03 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/matlab.bib",
  URL =          "http://www.jstatsoft.org/v41/i06",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-01-18; Accepted 2010-11-17",
  xxtitle =      "The State Space Models Toolbox for {MATLAB}",
}

@Article{Bell:2011:RFP,
  author =       "William R. Bell",
  title =        "\pkg{REGCMPNT} --- a {Fortran} Program for Regression
                 Models with {ARIMA} Component Errors",
  journal =      j-J-STAT-SOFT,
  volume =       "41",
  number =       "7",
  pages =        "??--??",
  month =        may,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v041.i07",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:22:03 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v41/i07",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-02-04; Accepted 2010-11-26",
  xxtitle =      "{REGCMPNT} - A Fortran Program for Regression Models
                 with {ARIMA} Component Errors",
}

@Article{VandenBossche:2011:FSS,
  author =       "Filip A. M. {Van den Bossche}",
  title =        "Fitting State Space Models with \pkg{EViews}",
  journal =      j-J-STAT-SOFT,
  volume =       "41",
  number =       "8",
  pages =        "??--??",
  month =        may,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v041.i08",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:22:03 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v41/i08",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-02-07; Accepted 2010-12-08",
  xxtitle =      "Fitting State Space Models with {EViews}",
}

@Article{Doan:2011:SSM,
  author =       "Thomas Doan",
  title =        "State Space Methods in \pkg{RATS}",
  journal =      j-J-STAT-SOFT,
  volume =       "41",
  number =       "9",
  pages =        "??--??",
  month =        may,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v041.i09",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:22:03 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v41/i09",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-02-01; Accepted 2010-12-08",
  xxtitle =      "State Space Methods in {RATS}",
}

@Article{Drukker:2011:SSM,
  author =       "David M. Drukker and Richard B. Gates",
  title =        "State Space Methods in \pkg{Stata}",
  journal =      j-J-STAT-SOFT,
  volume =       "41",
  number =       "10",
  pages =        "??--??",
  month =        may,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v041.i10",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:22:03 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v41/i10",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-01-15; Accepted 2010-09-29",
  xxtitle =      "State Space Methods in Stata",
}

@Article{Lucchetti:2011:SSM,
  author =       "Riccardo Lucchetti",
  title =        "State Space Methods in \pkg{gretl}",
  journal =      j-J-STAT-SOFT,
  volume =       "41",
  number =       "11",
  pages =        "??--??",
  month =        may,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v041.i11",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:22:03 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v41/i11",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-01-13; Accepted 2010-12-01",
  xxtitle =      "State Space Methods in gretl",
}

@Article{Selukar:2011:SSM,
  author =       "Rajesh Selukar",
  title =        "State Space Modeling Using {SAS}",
  journal =      j-J-STAT-SOFT,
  volume =       "41",
  number =       "12",
  pages =        "??--??",
  month =        may,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v041.i12",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:22:03 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/sas.bib",
  URL =          "http://www.jstatsoft.org/v41/i12",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2009-12-23; Accepted 2010-08-17",
  xxtitle =      "State Space Modeling Using {SAS}",
}

@Article{Bos:2011:BAU,
  author =       "Charles S. Bos",
  title =        "A {Bayesian} Analysis of Unobserved Component Models
                 Using \pkg{Ox}",
  journal =      j-J-STAT-SOFT,
  volume =       "41",
  number =       "13",
  pages =        "??--??",
  month =        may,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v041.i13",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Fri May 13 18:22:03 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v41/i13",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2010-01-29; Accepted 2010-11-29",
  xxtitle =      "A Bayesian Analysis of Unobserved Component Models
                 Using Ox",
}

@Article{Bailey:2011:CSI,
  author =       "Delia Bailey and Jonathan N. Katz",
  title =        "Code Snippet: Implementing Panel-Corrected Standard
                 Errors in {R}: The \pkg{pcse} Package",
  journal =      j-J-STAT-SOFT,
  volume =       "42",
  number =       "CS-1",
  pages =        "??--??",
  month =        jun,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v042.c01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Oct 2 07:04:03 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v42/c01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-01-22; Accepted 2007-10-16",
}

@Article{Altman:2011:ISV,
  author =       "Micah Altman and John Fox and Simon Jackman and Achim
                 Zeileis",
  title =        "An Introduction to the {Special Volume on 'Political
                 Methodology'}",
  journal =      j-J-STAT-SOFT,
  volume =       "42",
  number =       "1",
  pages =        "??--??",
  month =        jun,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v042.i01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Oct 2 07:04:03 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v42/i01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2011-05-21; Accepted 2011-05-21",
  xxtitle =      "An Introduction to the Special Volume on ``Political
                 Methodology''",
}

@Article{Altman:2011:NWL,
  author =       "Micah Altman and Simon Jackman",
  title =        "Nineteen Ways of Looking at Statistical Software",
  journal =      j-J-STAT-SOFT,
  volume =       "42",
  number =       "2",
  pages =        "??--??",
  month =        jun,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v042.i02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Oct 2 07:04:03 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v42/i02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-02-07; Accepted 2008-04-30",
  xxtitle =      "Nineteen Ways of Looking at Statistical Software",
}

@Article{Wand:2011:ASA,
  author =       "Jonathan Wand and Gary King and Olivia Lau",
  title =        "\pkg{anchors}: Software for Anchoring Vignette Data",
  journal =      j-J-STAT-SOFT,
  volume =       "42",
  number =       "3",
  pages =        "??--??",
  month =        jun,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v042.i03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Oct 2 07:04:03 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v42/i03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-02-09; Accepted 2008-04-27",
  xxtitle =      "anchors: Software for Anchoring Vignette Data",
}

@Article{Altman:2011:BBL,
  author =       "Micah Altman and Michael P. McDonald",
  title =        "{BARD}: Better Automated Redistricting",
  journal =      j-J-STAT-SOFT,
  volume =       "42",
  number =       "4",
  pages =        "??--??",
  month =        jun,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v042.i04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Oct 2 07:04:03 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v42/i04",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-03-01; Accepted 2008-04-27",
  xxtitle =      "{BARD}: Better Automated Redistricting",
}

@Article{Imai:2011:ERP,
  author =       "Kosuke Imai and Ying Lu and Aaron Strauss",
  title =        "\pkg{eco}: {R} Package for Ecological Inference in $ 2
                 \times 2 $ Tables",
  journal =      j-J-STAT-SOFT,
  volume =       "42",
  number =       "5",
  pages =        "??--??",
  month =        jun,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v042.i05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Oct 2 07:04:03 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v42/i05",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-02-06; Accepted 2007-06-18",
  xxtitle =      "eco: R Package for Ecological Inference in 2
                 {\texttimes} 2 Tables",
}

@Article{Ocana:2011:ISA,
  author =       "Francisco A. Oca{\~n}a and Pablo O{\~n}ate",
  title =        "{IndElec}: a Software for Analyzing Party Systems and
                 Electoral Systems",
  journal =      j-J-STAT-SOFT,
  volume =       "42",
  number =       "6",
  pages =        "??--??",
  month =        jun,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v042.i06",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Oct 2 07:04:03 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v42/i06",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-02-05; Accepted 2007-08-07",
  xxtitle =      "{IndElec}: A Software for Analyzing Party Systems and
                 Electoral Systems",
}

@Article{Sekhon:2011:MPS,
  author =       "Jasjeet S. Sekhon",
  title =        "Multivariate and Propensity Score Matching Software
                 with Automated Balance Optimization: The Matching
                 package for {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "42",
  number =       "7",
  pages =        "??--??",
  month =        jun,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v042.i07",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Oct 2 07:04:03 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v42/i07",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-02-07; Accepted 2007-06-16",
  xxtitle =      "Multivariate and Propensity Score Matching Software
                 with Automated Balance Optimization: The Matching
                 Package for R",
}

@Article{Ho:2011:MNP,
  author =       "Daniel E. Ho and Kosuke Imai and Gary King and
                 Elizabeth A. Stuart",
  title =        "{MatchIt}: Nonparametric Preprocessing for Parametric
                 Causal Inference",
  journal =      j-J-STAT-SOFT,
  volume =       "42",
  number =       "8",
  pages =        "??--??",
  month =        jun,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v042.i08",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Oct 2 07:04:03 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v42/i08",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2006-07-28; Accepted 2008-01-17",
  xxtitle =      "{MatchIt}: Nonparametric Preprocessing for Parametric
                 Causal Inference",
}

@Article{Martin:2011:MMC,
  author =       "Andrew D. Martin and Kevin M. Quinn and Jong Hee
                 Park",
  title =        "{MCMCpack}: {Markov} Chain {Monte Carlo} in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "42",
  number =       "9",
  pages =        "??--??",
  month =        jun,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v042.i09",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Oct 2 07:04:03 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v42/i09",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-01-15; Accepted 2007-11-24",
  xxtitle =      "{MCMCpack}: Markov Chain Monte Carlo in R",
}

@Article{Linzer:2011:PRP,
  author =       "Drew A. Linzer and Jeffrey B. Lewis",
  title =        "\pkg{poLCA}: An {R} Package for Polytomous Variable
                 Latent Class Analysis",
  journal =      j-J-STAT-SOFT,
  volume =       "42",
  number =       "10",
  pages =        "??--??",
  month =        jun,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v042.i10",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Oct 2 07:04:03 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v42/i10",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-02-15; Accepted 2007-08-02",
  xxtitle =      "{poLCA}: An R Package for Polytomous Variable Latent
                 Class Analysis",
}

@Article{Mebane:2011:GOU,
  author =       "Walter R. {Mebane, Jr.} and Jasjeet S. Sekhon",
  title =        "Genetic Optimization Using Derivatives: The
                 \pkg{rgenoud} Package for {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "42",
  number =       "11",
  pages =        "??--??",
  month =        jun,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v042.i11",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Oct 2 07:04:03 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v42/i11",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-02-11; Accepted 2007-11-21",
  xxtitle =      "Genetic Optimization Using Derivatives: The rgenoud
                 Package for R",
}

@Article{Pemstein:2011:SSL,
  author =       "Daniel Pemstein and Kevin M. Quinn and Andrew D.
                 Martin",
  title =        "The {Scythe Statistical Library}: An Open Source {C++}
                 Library for Statistical Computation",
  journal =      j-J-STAT-SOFT,
  volume =       "42",
  number =       "12",
  pages =        "??--??",
  month =        jun,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v042.i12",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Oct 2 07:04:03 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v42/i12",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-01-15; Accepted 2007-08-15",
  xxtitle =      "The Scythe Statistical Library: An Open Source
                 C$\mathplus\mathplus$ Library for Statistical
                 Computation",
}

@Article{Abadie:2011:SRP,
  author =       "Alberto Abadie and Alexis Diamond and Jens
                 Hainmueller",
  title =        "{Synth}: An {R} Package for Synthetic Control Methods
                 in Comparative Case Studies",
  journal =      j-J-STAT-SOFT,
  volume =       "42",
  number =       "13",
  pages =        "??--??",
  month =        jun,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v042.i13",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Oct 2 07:04:03 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v42/i13",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-02-01; Accepted 2007-12-17",
  xxtitle =      "Synth: An R Package for Synthetic Control Methods in
                 Comparative Case Studies",
}

@Article{Poole:2011:SRC,
  author =       "Keith Poole and Jeffrey Lewis and James Lo and Royce
                 Carroll",
  title =        "Scaling Roll Call Votes with \pkg{wnominate} in {R}",
  journal =      j-J-STAT-SOFT,
  volume =       "42",
  number =       "14",
  pages =        "??--??",
  month =        jun,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v042.i14",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sun Oct 2 07:04:03 MDT 2011",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v42/i14",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2007-02-01; Accepted 2007-08-07",
  xxtitle =      "Scaling Roll Call Votes with wnominate in R",
}

@Article{Shentu:2011:BRB,
  author =       "Yue Shentu",
  title =        "Book Review: {{\booktitle{Clinical Trial Data Analysis
                 Using R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "43",
  number =       "BR-1",
  pages =        "??--??",
  month =        jul,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v043.b01",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sat Feb 25 18:33:22 MST 2012",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v43/b01",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2011-07-18; Accepted 2011-07-18",
}

@Article{Demirtas:2011:BRB,
  author =       "Hakan Demirtas",
  title =        "Book Review: {{\booktitle{Statistical Simulation:
                 Power Method Polynomials and Other Transformations}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "43",
  number =       "BR-2",
  pages =        "??--??",
  month =        sep,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v043.b02",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sat Feb 25 18:33:22 MST 2012",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib",
  URL =          "http://www.jstatsoft.org/v43/b02",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2011-09-11; Accepted 2011-09-11",
}

@Article{Cook:2011:BRB,
  author =       "Dianne Cook and Heike Hofmann",
  title =        "Book Review: {{\booktitle{R Graphics}} (2nd
                 Edition)}",
  journal =      j-J-STAT-SOFT,
  volume =       "43",
  number =       "BR-3",
  pages =        "??--??",
  month =        sep,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v043.b03",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sat Feb 25 18:33:22 MST 2012",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v43/b03",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2011-09-13; Accepted 2011-09-13",
}

@Article{Sanchez:2011:BRB,
  author =       "Juana Sanchez",
  title =        "Book Review: {{\booktitle{Hidden Markov Models for
                 Time Series --- An Introduction Using R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "43",
  number =       "BR-4",
  pages =        "??--??",
  month =        oct,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v043.b04",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sat Feb 25 18:33:22 MST 2012",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v43/b04",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =     "Submitted 2011-10-04; Accepted 2011-10-04",
}

@Article{Gromping:2011:BRB,
  author =       "Ulrike Gr{\"o}mping",
  title =        "Book Review: {{\booktitle{Optimal Experimental Design
                 with R}}}",
  journal =      j-J-STAT-SOFT,
  volume =       "43",
  number =       "BR-5",
  pages =        "??--??",
  month =        oct,
  year =         "2011",
  CODEN =        "JSSOBK",
  DOI =          "https://doi.org/10.18637/jss.v043.b05",
  ISSN =         "1548-7660",
  ISSN-L =       "1548-7660",
  bibdate =      "Sat Feb 25 18:33:22 MST 2012",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
                 http://www.math.utah.edu/pub/tex/bib/s-plus.bib",
  URL =          "http://www.jstatsoft.org/v43/b05",
  acknowledgement = ack-nhfb,
  fjournal =     "Journal of Statistical Software",
  journal-URL =  "http://www.jstatsoft.org/",
  pubdates =