%%% -*-BibTeX-*- %%% ==================================================================== %%% BibTeX-file{ %%% author = "Nelson H. F. Beebe", %%% version = "4.154", %%% date = "18 October 2024", %%% time = "07:33:24 MDT", %%% filename = "s-plus.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 = "https://www.math.utah.edu/~beebe", %%% checksum = "35725 58700 242717 2569620", %%% email = "beebe at math.utah.edu, beebe at acm.org, %%% beebe at computer.org (Internet)", %%% codetable = "ISO/ASCII", %%% keywords = "bibliography; BibTeX; Bioconductor; R; S; %%% S-Plus; statistics; Sweave", %%% license = "public domain", %%% supported = "yes", %%% docstring = "This is a bibliography on the S and S-Plus %%% statistics programming languages. %%% %%% The vendor World-Wide Web site is now at %%% %%% http://www.insightful.com/splus %%% %%% Recently, a freely-distributable %%% reimplementation of S-Plus, called R, has %%% been developed; for details, see the %%% World-Wide Web locations %%% %%% http://lib.stat.cmu.edu/R %%% http://lib.stat.cmu.edu/R/CRAN/doc/FAQ/R-FAQ.html %%% http://www.r-project.org/doc/bib/R-books.html %%% https://ropensci.org/packages/ %%% %%% There is also a useful site at %%% %%% http://franz.stat.wisc.edu %%% %%% which ``offers North American mirrors of %%% several sites of interest to statisticians: %%% %%% Comprehensive R Archive Network (CRAN) %%% %%% R, a language described by its %%% creators Ross Ihaka and Robert %%% Gentleman as `not unlike S', is %%% freely available under the terms of %%% the GNU Public License. The source %%% for Unix, Windows or Macintosh %%% systems is available. Compiled %%% binaries are available for Debian %%% Linux, RedHat Linux, Windows or %%% Macintosh systems. %%% %%% Modern Applied Statistics with S-PLUS %%% %%% Description and support files for the %%% second edition of the classic book by %%% Bill Venables and Brian Ripley. %%% %%% Emacs Speaks Statistics %%% %%% An enhanced and extended version of %%% S-mode for GNU emacs or xemacs. %%% %%% PSPP %%% %%% A free, compatible replacement for %%% the statistical package SPSS. PSPP %%% was originally called Fiasco. %%% %%% Local Projects: %%% %%% Mixed-Effects Models in S %%% %%% A library for S-PLUS (and perhaps other %%% dialects of S) developed by Jose Pinheiro %%% and Douglas Bates. %%% %%% Current Index to Statistics Client/Server %%% %%% Software for client/server access to the %%% Current Index to Statistics.'' %%% %%% There are electronic archives of S-related %%% reports at: %%% %%% http://netlib.att.com/cm/ms/departments/sia/doc/index.html %%% http://netlib.att.com/cm/ms/departments/sia/jmc %%% http://netlib.bell-labs.com/cm/ms/departments/sia/project/trellis/index.html %%% %%% There is a frequently-asked questions list at: %%% %%% http://www.stat.mat.ethz.ch/S-FAQ %%% %%% There is an S-News mailing list at %%% %%% s-news at utstat.toronto.edu %%% %%% Subscription requests should go to %%% %%% s-news-request at utstat.toronto.edu %%% %%% This bibliography does NOT include %%% publications in R News and The R Journal; %%% they are recorded separately at %%% %%% https://www.math.utah.edu/pub/tex/bib/rjounal.bib %%% %%% At version 4.154, the year coverage looked %%% like this: %%% %%% 1969 ( 2) 1988 ( 2) 2007 ( 68) %%% 1970 ( 0) 1989 ( 0) 2008 ( 68) %%% 1971 ( 0) 1990 ( 1) 2009 ( 120) %%% 1972 ( 0) 1991 ( 2) 2010 ( 97) %%% 1973 ( 0) 1992 ( 7) 2011 ( 137) %%% 1974 ( 0) 1993 ( 19) 2012 ( 130) %%% 1975 ( 0) 1994 ( 15) 2013 ( 80) %%% 1976 ( 1) 1995 ( 23) 2014 ( 127) %%% 1977 ( 2) 1996 ( 11) 2015 ( 109) %%% 1978 ( 0) 1997 ( 17) 2016 ( 107) %%% 1979 ( 0) 1998 ( 18) 2017 ( 109) %%% 1980 ( 0) 1999 ( 10) 2018 ( 128) %%% 1981 ( 1) 2000 ( 12) 2019 ( 48) %%% 1982 ( 0) 2001 ( 11) 2020 ( 50) %%% 1983 ( 1) 2002 ( 19) 2021 ( 56) %%% 1984 ( 2) 2003 ( 26) 2022 ( 43) %%% 1985 ( 4) 2004 ( 20) 2023 ( 44) %%% 1986 ( 3) 2005 ( 49) 2024 ( 26) %%% 1987 ( 1) 2006 ( 43) %%% %%% Article: 1461 %%% Book: 339 %%% InBook: 1 %%% InProceedings: 14 %%% Manual: 26 %%% MastersThesis: 3 %%% Misc: 4 %%% PhdThesis: 2 %%% Proceedings: 10 %%% TechReport: 9 %%% %%% Total entries: 1869 %%% %%% This bibliography has been collected from %%% the author's personal bibliography files, %%% from the very large computer science %%% bibliography collection on ftp.ira.uka.de %%% in /pub/bibliography to which many people %%% of have contributed, and from several %%% Internet-accessible library catalogs, %%% notably those of the University of %%% California, Stanford University, Library %%% of Congress, and OCLC. %%% %%% At version 1.05 [05-Feb-1996], a search of %%% the OCLC Article1st database resulted in %%% the addition of only 5 new references; it %%% appears that relatively little mention is %%% being made in current literature about this %%% programming system. %%% %%% At version 3.00 [24-Apr-2014], the number of %%% entries was almost tripled, after automating %%% the job of searching the bibliography %%% archives for entries about R and S-Plus. %%% %%% At version 4.00 [10-Jul-2014], the number of %%% entries increased by more than 180, with %%% additions of entries with book reviews in %%% probability and statistics journals, and %%% entries for all of those reviewed books, of %%% which 72 are new with this version. %%% %%% 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 %%% first by ascending year, and within each %%% year, alphabetically by author or editor, %%% and then, if necessary, by the 3-letter %%% abbreviation at the end of the BibTeX %%% citation tag, using the ``bibsort -byyear'' %%% utility. Year order has been chosen to %%% make it easier to identify the most recent %%% work. %%% %%% 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{"\input bibnames.sty " # "\input path.sty " # "\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" # "\ifx \undefined \pkg \def \pkg #1{{{\tt #1}}} \fi" # "\ifx \undefined \reg \def \reg {\circled{R}} \fi" # "\ifx \undefined \url \def \url #1{{\tt #1}} \fi" # "\hyphenation{Pren-tice Rich-ard Spring-er} " }

%%% ==================================================================== %%% 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|https://www.math.utah.edu/~beebe/|"}

%%% ==================================================================== %%% Journal abbreviations:

@String{j-ALGORITHMS-BASEL= "Algorithms ({Basel})"} @String{j-AMER-STAT= "The American Statistician"} @String{j-ANZJS= "Australian \& New Zealand Journal of Statistics"} @String{j-APPL-MATH-COMP= "Applied Mathematics and Computation"} @String{j-APPL-STAT= "Applied Statistics"} @String{j-ASPECTS-APPL-BIOL= "Aspects of Applied Biology"} @String{j-ASTA-ADV-STAT-ANAL= "AStA. Advances in Statistical Analysis"} @String{j-ATT-TECH-J= "AT\&T Technical Journal"} @String{j-BIOMETRICS= "Biometrics"} @String{j-BULL-MATH-BIOL= "Bulletin of Mathematical Biology"} @String{j-CACM= "Communications of the ACM"} @String{j-CCPE= "Concurrency and Computation: Prac\-tice and Experience"} @String{j-CHANCE= "Chance"} @String{j-COMMUN-STAT-SIMUL-COMPUT= "Communications in Statistics: Simulation and Computation"} @String{j-COMP-GEOSCI= "Computers and Geosciences"} @String{j-COMP-PHYS-COMM= "Computer Physics Communications"} @String{j-COMP-STAT= "Computational Statistics"} @String{j-COMPUT-MATH-APPL= "Computers and Mathematics with Applications"} @String{j-COMPUT-SCI-ENG= "Computing in Science and Engineering"} @String{j-COMPUT-STAT-DATA-ANAL= "Computational Statistics \& Data Analysis"} @String{j-DDJ= "Dr. Dobb's Journal of Software Tools"} @String{j-ECOL-MODELL= "Ecological Modelling"} @String{j-EMPIR-SOFTWARE-ENG= "Empirical Software Engineering"} @String{j-FISH-RES= "Fisheries Research"} @String{j-FISHERIES= "Fisheries"} @String{j-FRONTIERS-MAR-SCI= "Frontiers in Marine Science"} @String{j-ICES-J-MAR-SCI= "ICES Journal of Marine Science"} @String{j-IEEE-SOFTWARE= "IEEE Software"} @String{j-IEEE-TRANS-SOFTW-ENG= "IEEE Transactions on Software Engineering"} @String{j-INT-J-PARALLEL-PROG= "International Journal of Parallel Programming"} @String{j-INT-J-STAT-PROBAB= "International Journal of Statistics and Probability"} @String{j-INT-STAT-REV= "International Statistical Review = Revue Internationale de Statistique"} @String{j-J-AM-STAT-ASSOC= "Journal of the American Statistical Association"} @String{j-J-APPL-ECONOMETRICS= "Journal of Applied Econometrics"} @String{j-J-APPL-STAT= "Journal of Applied Statistics"} @String{j-J-ASSOC-INF-SCI-TECHNOL= "Journal of the Association for Information Science and Technology"} @String{j-J-COMPUT-BIOL= "Journal of Computational Biology"} @String{j-J-COMPUT-CHEM= "Journal of Computational Chemistry"} @String{j-J-COMPUT-GRAPH-STAT= "Journal of Computational and Graphical Statistics"} @String{j-J-COMPUT-SCI= "Journal of Computational Science"} @String{j-J-FISH-BIOL= "Journal of Fish Biology"} @String{j-J-OPEN-SOURCE-SOFT= "Journal of Open Source Software"} @String{j-J-OPEN-RES-SOFT= "Journal of Open Research Software"} @String{j-J-PAR-DIST-COMP= "Journal of Parallel and Distributed Computing"} @String{j-J-R-STAT-SOC-SER-A-STAT-SOC= "Journal of the Royal Statistical Society. Series A (Statistics in Society)"} @String{j-J-R-STAT-SOC-SER-D-STATISTICIAN= "Journal of the Royal Statistical Society. Series D (The Statistician)"} @String{j-J-SOFTW-EVOL-PROC= "Journal of Software: Evolution and Process"} @String{j-J-STAT-COMPUT-SIMUL= "Journal of Statistical Computation and Simulation"} @String{j-J-STAT-SOFT= "Journal of Statistical Software"} @String{j-J-SYST-SOFTW= "The Journal of Systems and Software"} @String{j-J-STAT-THEORY-PRACT= "Journal of Statistical Theory and Practice"} @String{j-J-SUPERCOMPUTING= "The Journal of Supercomputing"} @String{j-J-TIME-SER-ANAL= "Journal of Time Series Analysis"} @String{j-LECT-NOTES-COMP-SCI= "Lecture Notes in Computer Science"} @String{j-LINUX-J= "Linux Journal"} @String{j-MATH-COMPUT-APPL= "Mathematical and Computational Applications"} @String{j-MATH-GAZ= "The Mathematical Gazette"} @String{j-METRON= "Metron"} @String{j-N-AM-J-FISH-MANAG= "North American Journal of Fisheries Management"} @String{j-NETWORK-SECURITY= "Network Security"} @String{j-OPT-METH-SOFT= "Optimization Methods and Software"} @String{j-PACMPL= "Proceedings of the ACM on Programming Languages (PACMPL)"} @String{j-PROC-VLDB-ENDOWMENT= "Proceedings of the VLDB Endowment"} @String{j-RELIABLE-COMPUTING= "Reliable Computing = Nadezhnye vychisleniia"} @String{j-SCIENTOMETRICS= "Scientometrics"} @String{j-SIGACT= "ACM SIGACT News"} @String{j-SIGPLAN= "ACM SIG{\-}PLAN Notices"} @String{j-SIGNIF= "Significance ({Oxford, England})"} @String{j-SILICON-GRAPHICS-WORLD= "Silicon Graphics World"} @String{j-SOC-METH-RES= "Sociological methods and research"} @String{j-SOFTWAREX= "SoftwareX"} @String{j-STAT-COMPUT= "Statistics and Computing"} @String{j-STAT-MED= "Statistics in Medicine"} @String{j-STAT-PAPERS= "Statistical Papers"} @String{j-STAT-SCI= "Statistical Science"} @String{j-TCBB= "IEEE\slash ACM Transactions on Computational Biology and Bioinformatics"} @String{j-TECHNOMETRICS= "Technometrics"} @String{j-TOMACS= "ACM Transactions on Modeling and Computer Simulation"} @String{j-TOMS= "ACM Transactions on Mathematical Software"} @String{j-TUGboat= "TUGboat"} @String{j-WIRES= "WIREs Computational Statistics"}

%%% ==================================================================== %%% Publishers and their addresses:

@String{pub-ACADEMIC= "Academic Press"} @String{pub-ACADEMIC:adr= "New York, NY, USA"} @String{pub-APRESS= "Apress"} @String{pub-APRESS:adr= "Berkeley, CA, USA"} @String{pub-AW= "Ad{\-d}i{\-s}on-Wes{\-l}ey"} @String{pub-AW:adr= "Reading, MA, USA"} @String{pub-BROOKS-COLE= "Brooks\slash Cole Publishing Co."} @String{pub-BROOKS-COLE:adr= "Pacific Grove, CA, USA"} @String{pub-CAMBRIDGE= "Cambridge University Press"} @String{pub-CAMBRIDGE:adr= "Cambridge, UK"} @String{pub-CHAPMAN-HALL= "Chapman and Hall, Ltd."} @String{pub-CHAPMAN-HALL:adr= "London, UK"} @String{pub-CHAPMAN-HALL-CRC= "Chapman and Hall/CRC"} @String{pub-CHAPMAN-HALL-CRC:adr= "Boca Raton, FL, USA"} @String{pub-CRC= "CRC Press"} @String{pub-CRC:adr= "2000 N.W. Corporate Blvd., Boca Raton, FL 33431-9868, USA"} @String{pub-DUXBURY= "Duxbury Press"} @String{pub-DUXBURY:adr= "Belmont, CA, USA"} @String{pub-DUXBURY-PRESS= "Duxbury Press"} @String{pub-DUXBURY-PRESS:adr= "North Scituate, MA, USA"} @String{pub-GORDON-BREACH= "Gordon and Breach"} @String{pub-GORDON-BREACH:adr= "Langhorne, PA, USA"} @String{pub-IEEE= "IEEE Computer Society Press"} @String{pub-IEEE:adr= "1109 Spring Street, Suite 300, Silver Spring, MD 20910, USA"} @String{pub-MANNING= "Manning Publications"} @String{pub-MANNING:adr= "Greenwich, CT, USA"} @String{pub-NETWORK-THEORY= "Network Theory Ltd."} @String{pub-NETWORK-THEORY:adr= "Bristol, UK"} @String{pub-NO-STARCH= "No Starch Press"} @String{pub-NO-STARCH:adr= "San Francisco, CA, USA"} @String{pub-NORTH-HOLLAND= "North-Hol{\-}land"} @String{pub-NORTH-HOLLAND:adr= "Amsterdam, The Netherlands"} @String{pub-ORA= "O'Reilly \& {Associates, Inc.}"} @String{pub-ORA:adr= "981 Chestnut Street, Newton, MA 02164, USA"} @String{pub-ORA-MEDIA= "O'Reilly Media, Inc."} @String{pub-ORA-MEDIA:adr= "1005 Gravenstein Highway North, Sebastopol, CA 95472, USA"} @String{pub-OXFORD= "Oxford University Press"} @String{pub-OXFORD:adr= "Walton Street, Oxford OX2 6DP, UK"} @String{pub-PACKT= "Packt Publishing"} @String{pub-PACKT:adr= "Birmingham"} @String{pub-PRINCETON= "Princeton University Press"} @String{pub-PRINCETON:adr= "Princeton, NJ, USA"} @String{pub-SAS= "SAS Institute"} @String{pub-SAS:adr= "SAS Circle, Box 8000, Cary, NC 27512-8000, USA"} @String{pub-STATSCI= "StatSci, a Division of MathSoft, Inc."} @String{pub-STATSCI:adr= "Seattle, WA, USA"} @String{pub-SV= "Spring{\-}er-Ver{\-}lag"} @String{pub-SV:adr= "Berlin, Germany~/ Heidelberg, Germany~/ London, UK~/ etc."} @String{pub-TAYLOR-FRANCIS= "Taylor and Francis"} @String{pub-TAYLOR-FRANCIS:adr= "Boca Raton, FL, USA"} @String{pub-USGPO= "United States Government Printing Office"} @String{pub-USGPO:adr= "Washington, DC, USA"} @String{pub-WADSWORTH= "Wadsworth"} @String{pub-WADSWORTH:adr= "Pacific Grove, CA, USA"} @String{pub-WILEY= "Wiley"} @String{pub-WILEY:adr= "New York, NY, USA"} @String{pub-WILEY-INTERSCIENCE= "Wiley-In{\-}ter{\-}sci{\-}ence"} @String{pub-WILEY-INTERSCIENCE:adr= "New York, NY, USA"} @String{pub-WORLD-SCI= "World Scientific Publishing Co. Pte. Ltd."} @String{pub-WORLD-SCI:adr= "P. O. Box 128, Farrer Road, Singapore 9128"}

%%% ==================================================================== %%% Bibliography entries, sorted by year and then by citation label, %%% with ``bibsort --byyear'':

@InProceedings{Chambers:1969:SDL, author = "J. M. Chambers", title = "A Statistical Data Language", crossref = "Milton:1969:SCP", pages = "179--199", year = "1969", bibdate = "Mon Sep 04 14:28:14 2023", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/unix.bib", acknowledgement = ack-nhfb, remark = "This paper describes early work that led to the S programming language, which was first described in three books recorded in s-plus.bib (Becker:1984:IED, Becker:1985:ESS, Becker:1988:NPL).", } @InProceedings{Becker:1976:GZS, author = "Richard A. Becker and John M. Chambers", editor = "David C. (David Caster) Hoaglin and Roy E. Welsch", booktitle = "{Proceedings of the 9th Interface Symposium on Computer Science and Statistics: Harvard University, Massachusetts Institute of Technology, April 1--2, 1976}", title = "{GR-Z}: a System of Graphical Subroutines for Data Analysis", publisher = "Prindle, Weber, Schmidt", address = "Boston, MA, USA", bookpages = "x + 323", pages = "??--??", year = "1976", ISBN = "0-87150-237-2", ISBN-13 = "978-0-87150-237-7", LCCN = "QA276.A1 I53 1976", bibdate = "Thu Aug 13 08:46:07 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, remark = "The GR-Z system was a precursor to visualization parts of the S language [see \cite{Chambers:2020:RDS}]. Chambers' Web site at \url{https://statweb.stanford.edu/~jmc4/pub.html} lists this as pages 409--415 in the 10th symposium in 1977. Is that a reference list error, or was the paper presented twice, or were two similar papers published? Further Web searching suggests that the 10th, not the 9th, may be correct, but I cannot yet find table of contents data for the two meetings.", } @InProceedings{Becker:1977:GZS, author = "Richard A. Becker and John M. Chambers", editor = "David C. (David Caster) Hoaglin and Dennis W. Fife", booktitle = "{Computer Science and Statistics: Tenth Annual Symposium on the Interface: Proceedings of the 10th Annual Symposium held at the National Bureau of Standards, Gaithersburg, Maryland, April 14--15, 1977}", title = "{GR-Z}: a System of Graphical Subroutines for Data Analysis", publisher = pub-USGPO, address = pub-USGPO:adr, bookpages = "xi + 456", pages = "409--415", year = "1977", ISBN = "1-390-52421-3", ISBN-13 = "978-1-390-52421-5", LCCN = "QA276.A1 I53 1976", bibdate = "Thu Aug 13 08:46:07 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", note = "NBS Special publication 503", acknowledgement = ack-nhfb, remark = "The GR-Z system was a precursor to visualization parts of the S language [see \cite{Chambers:2020:RDS}]. The reference on page 84:16 in that paper seems to be off by one year. The complete book text is found in \url{google.com/books}, and no ISBN is visible, but library catalogs show the one listed here.", } @Book{Tukey:1977:EDA, author = "John W. Tukey", title = "Exploratory data analysis", publisher = pub-AW, address = pub-AW:adr, pages = "xvi + 688", year = "1977", ISBN = "0-201-07616-0", ISBN-13 = "978-0-201-07616-5", LCCN = "HA29 .T916 1977", bibdate = "Tue Jun 01 15:28:00 1999", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, } @Manual{Becker:1981:LSD, author = "Richard A. Becker and John M. Chambers", title = "{S}: a Language and System for Data Analysis", organization = "AT\&T Bell Laboratories", address = "Murray Hill, NJ, USA", year = "1981", LCCN = "QA76.7 .B43 1981", bibdate = "Wed Aug 10 10:41:43 1994", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, } @Book{Chambers:1983:GMD, editor = "John M. Chambers and W. S. Cleveland and B. Kleiner and P. A. Tukey", title = "Graphical methods for data analysis", publisher = pub-WADSWORTH, address = pub-WADSWORTH:adr, pages = "xiv + 395", year = "1983", ISBN = "0-534-98052-X", ISBN-13 = "978-0-534-98052-8", LCCN = "QA276.3 .G73 1983", bibdate = "Thu Oct 20 05:31:00 MDT 2005", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "The Wadsworth statistics/probability series", acknowledgement = ack-nhfb, keywords = "S", subject = "Statistics; Graphic methods; Congresses; Computer graphics; Congresses", } @Article{Becker:1984:DSD, author = "R. A. Becker and J. M. Chambers", title = "Design of the {S} System for Data Analysis", journal = j-CACM, volume = "27", number = "5", pages = "486--495", month = may, year = "1984", CODEN = "CACMA2", ISSN = "0001-0782 (print), 1557-7317 (electronic)", ISSN-L = "0001-0782", bibdate = "Tue Aug 16 23:35:52 1994", bibsource = "ftp://ftp.ira.uka.de/pub/bibliography/Graphics/imager/imager.84.bib; https://www.math.utah.edu/pub/tex/bib/cacm1980.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, fjournal = "Communications of the ACM", journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J79", keywords = "statistics, and I3m Data Analysis", } @Book{Becker:1984:IED, author = "Richard A. Becker and John M. Chambers", title = "{S}: An Interactive Environment for Data Analysis and Graphics", publisher = pub-WADSWORTH, address = pub-WADSWORTH:adr, pages = "xii + 550", year = "1984", ISBN = "0-534-03313-X", ISBN-13 = "978-0-534-03313-2", LCCN = "QA76.73.S15 B44 1984", bibdate = "Wed Aug 10 10:43:21 1994", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, } @Article{Becker:1985:DSD, author = "R. A. Becker and J. M. Chambers", title = "Design of the {S} system for data analysis", journal = j-ATT-TECH-J, volume = "64", number = "9", pages = "2131--2151", year = "1985", CODEN = "ATJOEM", ISSN = "2376-676X (print), 8756-2324 (electronic)", ISSN-L = "8756-2324", bibdate = "Fri Nov 12 13:09:16 2010", bibsource = "Compendex database; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", abstract = "S is a language and system for interactive data analysis and graphics. It emphasizes interactive analysis and graphics, ease of use, flexibility, and extensibility. While sharing many characteristics with other statistical systems, S differs significantly in its design goals, its implementation, and the way it is used. The author presents some of the design concepts and implementation techniques in S and relates these general ideas in computing to the specific design goals for S and to other statistical systems.", acknowledgement = ack-nhfb, fjournal = "AT\&T Technical Journal", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1538-7305/issues/", keywords = "computer graphics; data analysis; high level languages; interactive systems", subject = "data analysis; S; language; interactive data analysis; graphics; ease of use; flexibility; extensibility; statistical systems", } @Book{Becker:1985:ESS, author = "Richard A. Becker and John M. Chambers", title = "Extending the {S} System", publisher = pub-WADSWORTH, address = pub-WADSWORTH:adr, pages = "viii + 166", year = "1985", ISBN = "0-534-05016-6", ISBN-13 = "978-0-534-05016-0", LCCN = "QA276.4 .B4241 1985", bibdate = "Wed Aug 10 10:38:24 1994", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, } @Book{Cleveland:1985:EGD, author = "William S. Cleveland", title = "The elements of graphing data", publisher = pub-WADSWORTH, address = pub-WADSWORTH:adr, pages = "xii + 323", year = "1985", ISBN = "0-534-03730-5 (paperback)", ISBN-13 = "978-0-534-03730-7 (paperback)", LCCN = "QA90 .C54 1985", bibdate = "Thu Oct 20 05:36:46 MDT 2005", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", price = "US\$18.95", acknowledgement = ack-nhfb, keywords = "S", subject = "Graphic methods", } @Book{MathSoft:1985:PUG, author = "{MathSoft, Inc.}", title = "{S-PLUS} User's Guide: Version 3.3 for {Windows}", publisher = pub-STATSCI, address = pub-STATSCI:adr, pages = "various", month = sep, year = "1985", ISBN = "", ISBN-13 = "", LCCN = "", bibdate = "Tue Jan 28 14:18:45 1997", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, } @InProceedings{Chambers:1986:PED, author = "John M. Chambers", title = "{S} as a Programming Environment for Data Analysis and Graphics", crossref = "Allen:1986:CSS", pages = "206--209 (physical)", year = "1986", bibdate = "Wed Nov 12 16:05:19 2014", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.dtic.mil/dtic/tr/fulltext/u2/a166019.pdf", acknowledgement = ack-nhfb, } @Book{Devroye:1986:NUR, author = "Luc Devroye", title = "Non-uniform random variate generation", publisher = pub-SV, address = pub-SV:adr, pages = "xvi + 843", year = "1986", ISBN = "0-387-96305-7", ISBN-13 = "978-0-387-96305-1", LCCN = "QA274 .D48 1986", bibdate = "Tue Jun 01 15:12:57 1999", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", price = "US\$54.00", acknowledgement = ack-nhfb, } @Book{Ripley:1987:SS, author = "B. D. Ripley", title = "Stochastic Simulation", publisher = pub-WILEY, address = pub-WILEY:adr, pages = "xi + 237", year = "1987", ISBN = "0-471-81884-4", ISBN-13 = "978-0-471-81884-7", ISSN = "0271-6356", LCCN = "QA76.9.C65 R571 1987", bibdate = "Tue Jun 01 15:21:00 1999", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", price = "US\$29.95", series = "Wiley series in probability and mathematical statistics. Applied probability and statistics", acknowledgement = ack-nhfb, } @Book{Becker:1988:NPLa, author = "Richard A. Becker and John M. Chambers and Allan R. Wilks", title = "The New {S} Programming Language: a Programming Environment for Data Analysis and Graphics", publisher = pub-WADSWORTH # " and " # pub-BROOKS-COLE, address = pub-WADSWORTH:adr # " and " # pub-BROOKS-COLE:adr, pages = "xvii + 702", year = "1988", ISBN = "0-534-09192-X, 0-534-09193-8", ISBN-13 = "978-0-534-09192-7, 978-0-534-09193-4", LCCN = "QA76.73.S15 B43 1988", MRclass = "68-01, 62-04, 62-07, 68P05, 68U99", bibdate = "Wed Aug 10 17:37:02 1994", bibsource = "https://www.math.utah.edu/pub/tex/bib/master.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", ZMnumber = "0642.68003", acknowledgement = ack-nhfb, } @Book{Becker:1988:NLPb, author = "Richard A. Becker and Allan Reeve Wilks", title = "The New {S} Language: a Programming Environment for Data Analysis and Graphics", publisher = pub-CHAPMAN-HALL, address = pub-CHAPMAN-HALL:adr, pages = "xvii + 702", year = "1988", ISBN = "0-412-74150-4", ISBN-13 = "978-0-412-74150-0", LCCN = "????", bibdate = "Tue Jun 11 15:41:40 MDT 2024", bibsource = "fsz3950.oclc.org:210/WorldCat; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, } @Article{Azzalini:1990:LSD, author = "A. Azzalini and A. W. Bowman", title = "A look at some data on the {Old Faithful Geyser}", journal = j-APPL-STAT, volume = "39", number = "3", pages = "357--365", year = "1990", CODEN = "APSTAG", ISSN = "0035-9254 (print), 1467-9876 (electronic)", ISSN-L = "0035-9254", bibdate = "Tue Jun 01 14:58:18 1999", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, fjournal = "Applied Statistics", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-9876/issues", } @Book{Hardle:1991:STI, author = "Wolfgang H{\"a}rdle", title = "Smoothing Techniques: with Implementation in {S}", publisher = pub-SV, address = pub-SV:adr, pages = "xi + 261", year = "1991", ISBN = "0-387-97367-2 (New York), 3-540-97367-2 (Berlin)", ISBN-13 = "978-0-387-97367-8 (New York), 978-3-540-97367-6 (Berlin)", LCCN = "QA278 .H348 1990", bibdate = "Tue Jun 01 14:54:36 1999", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, } @Article{Lubinsky:1991:CTF, author = "David J. Lubinsky", title = "Comment: Two Functional Programming Environments for Statistics --- {Lisp-Stat} and {S}", journal = j-STAT-SCI, volume = "6", number = "4", pages = "352--360", month = nov, year = "1991", CODEN = "STSCEP", ISSN = "0883-4237 (print), 2168-8745 (electronic)", ISSN-L = "0883-4237", bibdate = "Fri May 30 12:48:33 MDT 2014", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/statsci.bib", URL = "http://projecteuclid.org/euclid.ss/1177011575", acknowledgement = ack-nhfb, fjournal = "Statistical Science", journal-URL = "http://projecteuclid.org/all/euclid.ss", } @Article{Heiberger:1992:DFR, author = "Richard M. Heiberger and Richard A. Becker", title = "Design of an {S} Function for Robust Regression Using Iteratively Reweighted Least Squares", journal = j-J-COMPUT-GRAPH-STAT, volume = "1", number = "3", pages = "181--196", year = "1992", CODEN = "????", DOI = "https://doi.org/10.1080/10618600.1992.10474580", ISSN = "1061-8600 (print), 1537-2715 (electronic)", ISSN-L = "1061-8600", bibdate = "Thu Aug 13 10:27:39 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/jcomputgraphstat.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.tandfonline.com/doi/abs/10.1080/10618600.1992.10474580", acknowledgement = ack-nhfb, fjournal = "Journal of Computational and Graphical Statistics", journal-URL = "http://www.amstat.org/publications/jcgs/; http://www.tandfonline.com/loi/ucgs20", onlinedate = "21 Feb 2012", } @Manual{MathSoft:1992:PPM, title = "{S-PLUS} Programmer's Manual", organization = pub-STATSCI, address = pub-STATSCI:adr, edition = "Version 3.1", pages = "various", month = oct, year = "1992", bibdate = "Tue May 07 14:38:42 1996", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, } @Manual{MathSoft:1992:PUM, title = "{S-PLUS} User's Manual Supplement", organization = pub-STATSCI, address = pub-STATSCI:adr, edition = "Version 3.1", pages = "various", month = oct, year = "1992", bibdate = "Tue May 07 14:38:42 1996", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, } @TechReport{Miller:1992:SNS, author = "A. J. Miller", title = "Some notes on statistical packages for {PCs}", institution = "CSIRO Division of Mathematics \& Statistics", address = "Melbourne, Australia", pages = "55", month = oct, year = "1992", bibdate = "Thu Apr 19 05:52:50 2001", bibsource = "ftp://ftp.math.utah.edu/pub/mirrors/ftp.ira.uka.de/bibliography/Misc/allison.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", keywords = "language; maths; package; S; S+; S-plus; SAS; Splus; stats; survey", } @InProceedings{Rowlingson:1992:SSP, author = "B. S. Rowlingson and P. J. Diggle", editor = "P. Bresnahan and E. Corwin and D. Cowen", booktitle = "Proceedings: 5th International Symposium on Spatial Data Handling: August 3--7, 1992, Charleston, {SC}, {USA}", title = "{Splancs}: Spatial Point Pattern Analysis Code in {S-Plus}", volume = "2", publisher = "Humanities and Social Sciences Computing Lab, University of South Carolina", address = "Charleston, SC, USA", bookpages = "xiv + 725", pages = "713--722", year = "1992", ISBN = "0-9633532-0-9 (vol. 1), 0-9633532-1-7 (vol. 2), 0-9633532-2-5 (set)", ISBN-13 = "978-0-9633532-0-7 (vol. 1), 978-0-9633532-1-4 (vol. 2), 978-0-9633532-2-1 (set)", bibdate = "Thu Apr 19 06:05:40 2001", bibsource = "ftp://ftp.math.utah.edu/pub/mirrors/ftp.ira.uka.de/bibliography/Database/GIS/sdh92.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", note = "Two volumes.", abstract = "In this paper we present a package of routines written in the S language and Fortran for the analysis of spatial point patterns. A large body of techniques exists for analyzing point patterns, but there is no integrated framework in which these techniques can be applied. We have used the commercial package, S-Plus, to create such an environment. S-Plus's flexible, extensible nature makes it easy to integrate spatial point pattern analysis routines. We do not lose any of the powerful functionality of S-Plus. Analysis of spatial point patterns is described by many authors, for example (Diggle, 1983) and (Ripley, 1981). We have implemented some of the methods described there as well as newer techniques in the field. Specific functions have been written for: point data definition and display; geometrical point/polygon overlay functions; point pattern summary statistics; point pattern simulations and Monte-Carlo tests. We have constructed a practical tool for the development of new spatial statistical methods and the analysis of data. This paper is a condensed version of Rowlingson and Diggle (1991a), which contains further examples and complete listing of the help pages and code for Splancs.", } @Book{Sibuya:1992:DAU, author = "M. Sibuya and R. Shibata", title = "Data Analysis by Using {S}", publisher = "Kyouritsu Syppan", address = "????, Japan", pages = "????", year = "1992", ISBN = "????", ISBN-13 = "????", LCCN = "????", bibdate = "Tue Jun 01 15:24:29 1999", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, } @Book{Chambers:1993:SMS, editor = "John M. Chambers and Trevor J. Hastie", title = "Statistical Models in {S}", publisher = pub-CHAPMAN-HALL # " and " # pub-WADSWORTH, address = pub-CHAPMAN-HALL:adr # " and " # pub-WADSWORTH:adr, pages = "xv + 608", year = "1993", ISBN = "0-412-05301-2 (Chapman and Hall), 0-534-16765-9 (Wadsworth paperback), 0-534-16764-0 (Wadsworth hardcover)", ISBN-13 = "978-0-412-05301-6 (Chapman and Hall), 978-0-534-16765-3 (Wadsworth paperback), 978-0-534-16764-6 (Wadsworth hardcover)", LCCN = "QA276.4 .S65 1992", bibdate = "Wed Aug 10 10:31:05 1994", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", price = "US\$40.95", acknowledgement = ack-nhfb, bootitle = "Statistical Models in {S}", } @Book{Cleveland:1993:VD, author = "William S. Cleveland", title = "Visualizing Data", publisher = "Hobart Press", address = "Summit, NJ, USA", pages = "360", year = "1993", ISBN = "0-9634884-0-6", ISBN-13 = "978-0-9634884-0-4", LCCN = "QA276.3.C57 1993", bibdate = "Tue Jun 01 15:10:42 1999", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", price = "US\$50.00", acknowledgement = ack-nhfb, } @Article{Hallman:1993:RP, author = "J. Hallman", title = "Review of {S-PLUS}", journal = j-J-APPL-ECONOMETRICS, volume = "8", number = "2", pages = "213--219", month = apr, year = "1993", CODEN = "JAECET", DOI = "https://doi.org/10.1002/jae.3950080208", ISSN = "0883-7252 (print), 1099-1255 (electronic)", ISSN-L = "0883-7252", bibdate = "Mon Feb 5 11:41:22 MST 1996", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, fjournal = "Journal of Applied Econometrics", onlinedate = "7 Nov 2006", xxpages = "213--220", } @InProceedings{LoPresti:1993:IOP, author = "C. A. {Lo Presti}", title = "Implementation of the Object-Oriented Paradigm in {S-Plus}", crossref = "IEEE:1993:NCR", pages = "186--191", year = "1993", bibdate = "Tue May 7 12:13:22 MDT 1996", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, } @Book{Marazzi:1993:ARF, author = "Alfio Marazzi and Johann Joss and Alex Randriamiharisoa", title = "Algorithms, Routines, and {S} Functions for Robust Statistics: The {FORTRAN} Library {ROBETH} with an Interface to {S-PLUS}", publisher = pub-WADSWORTH # " and " # pub-BROOKS-COLE, address = pub-WADSWORTH:adr # " and " # pub-BROOKS-COLE:adr, pages = "xii + 436", year = "1993", ISBN = "0-534-19698-5", ISBN-13 = "978-0-534-19698-1", LCCN = "QA276.4 .M267 1993", bibdate = "Sun Sep 28 10:42:07 MDT 1997", bibsource = "http://www.amazon.com/exec/obidos/ISBN=0534196985/wholesaleproductA/; http://www.cbooks.com/; https://www.math.utah.edu/pub/tex/bib/fortran3.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", price = "US\$69.50", URL = "http://www.cbooks.com/sqlnut/SP/search/gtsumt?source=&isbn=0534196985", acknowledgement = ack-nhfb, keywords = "robeth; robust statistics -- data processing", } @Manual{MathSoft:1993:CCP, title = "A Crash Course in {S-PLUS}", organization = pub-STATSCI, address = pub-STATSCI:adr, edition = "Version 3.2", pages = "various", month = dec, year = "1993", bibdate = "Tue May 07 14:34:29 1996", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, } @Manual{MathSoft:1993:GIP, title = "A Gentle Introduction to {S-PLUS}", organization = pub-STATSCI, address = pub-STATSCI:adr, edition = "Version 3.2", pages = "various", month = dec, year = "1993", bibdate = "Tue May 07 14:34:29 1996", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, } @Manual{MathSoft:1993:IMM, title = "{S-PLUS} Installation and Maintenance Manual", organization = pub-STATSCI, address = pub-STATSCI:adr, edition = "Version 3.2", pages = "various", month = dec, year = "1993", bibdate = "Tue May 07 14:34:29 1996", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, } @Manual{MathSoft:1993:PGS, title = "{S-PLUS} Guide to Statistical and Mathematical Analysis", organization = pub-STATSCI, address = pub-STATSCI:adr, edition = "Version 3.2", pages = "various", month = dec, year = "1993", bibdate = "Tue May 07 12:10:01 1996", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, } @Manual{MathSoft:1993:PPM, title = "{S-PLUS} Programmer's Manual", organization = pub-STATSCI, address = pub-STATSCI:adr, edition = "Version 3.2", pages = "various", month = dec, year = "1993", bibdate = "Tue May 07 12:10:01 1996", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, } @Manual{MathSoft:1993:PUM, title = "{S-PLUS} User's Manual", organization = pub-STATSCI, address = pub-STATSCI:adr, edition = "Version 3.2", pages = "various", month = dec, year = "1993", bibdate = "Tue May 07 12:10:01 1996", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, } @Article{Rowlingson:1993:SSP, author = "B. S. Rowlingson and P. J. Diggle", title = "{Splancs}: spatial point pattern analysis code in {S-Plus}", journal = j-COMP-GEOSCI, volume = "19", number = "5", pages = "627--655", month = may, year = "1993", CODEN = "CGOSDN", ISSN = "0098-3004 (print), 1873-7803 (electronic)", ISSN-L = "0098-3004", MRnumber = "93J-12038", bibdate = "Mon Feb 5 11:41:22 MST 1996", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, affiliation = "Mathematics Dept, Lancaster Univ, Lancaster LA1 4YF, UK", fjournal = "Computers and Geosciences", keywords = "GIS; point pattern analysis; spatial statistics", } @Manual{StatSci:1993:CCP, title = "A Crash Course in {S-PLUS}", organization = pub-STATSCI, address = pub-STATSCI:adr, pages = "various", month = dec, year = "1993", bibdate = "Wed Mar 12 15:14:41 1997", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, } @Manual{StatSci:1993:GIP, title = "A Gentle Introduction to {S-PLUS}, Version 3.2", organization = pub-STATSCI, address = pub-STATSCI:adr, pages = "various", month = dec, year = "1993", bibdate = "Wed Mar 12 15:14:41 1997", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, } @Manual{StatSci:1993:PGS, title = "{S-PLUS} Guide to Statistical and Mathematical Analysis, Version 3.2", organization = pub-STATSCI, address = pub-STATSCI:adr, pages = "various", month = dec, year = "1993", bibdate = "Wed Mar 12 15:14:41 1997", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, } @Manual{StatSci:1993:PPM, title = "{S-PLUS} Programmer's Manual, Version 3.2", organization = pub-STATSCI, address = pub-STATSCI:adr, pages = "various", month = dec, year = "1993", bibdate = "Wed Mar 12 15:14:41 1997", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, } @Manual{StatSci:1993:PUM, title = "{S-PLUS} User's Manual, Version 3.2", organization = pub-STATSCI, address = pub-STATSCI:adr, pages = "various", month = dec, year = "1993", bibdate = "Wed Mar 12 15:14:41 1997", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, } @Book{Suselbeck:1993:PEP, author = "Benno S{\"u}selbeck", title = "{S und S-PLUS: Eine Einf{\"u}hrung in Programmierung und Anwendung}", publisher = "Fischer", address = "Stuttgart, Germany", pages = "xii + 602", year = "1993", ISBN = "3-437-40232-3", ISBN-13 = "978-3-437-40232-6", LCCN = "????", bibdate = "Tue Jun 01 15:26:27 1999", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, } @InProceedings{Becker:1994:BH, author = "R. A. Becker", title = "A Brief History of {S}", crossref = "Dirschedl:1994:CSP", pages = "81--110", year = "1994", bibdate = "Tue Jun 01 15:03:07 1999", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, } @Article{Bouvier:1994:NNL, author = "Annie Bouvier and Sylvie Huet", title = "{\tt nls2}: Non-linear regression by {S-PLUS} --- functions", journal = j-COMPUT-STAT-DATA-ANAL, volume = "18", number = "1", pages = "187--190", month = aug, year = "1994", CODEN = "CSDADW", ISSN = "0167-9473 (print), 1872-7352 (electronic)", ISSN-L = "0167-9473", bibdate = "Fri Feb 6 11:39:47 MST 2015", bibsource = "https://www.math.utah.edu/pub/tex/bib/computstatdataanal1990.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.sciencedirect.com/science/article/pii/0167947394901384", acknowledgement = ack-nhfb, fjournal = "Computational Statistics \& Data Analysis", journal-URL = "http://www.sciencedirect.com/science/journal/01679473", } @Book{Cleveland:1994:EGD, author = "William S. Cleveland", title = "The elements of graphing data", publisher = "AT\&T Bell Laboratories", address = "Murray Hill, NJ, USA", edition = "Revised", pages = "297", year = "1994", ISBN = "0-9634884-1-4 (cloth)", ISBN-13 = "978-0-9634884-1-1 (cloth)", LCCN = "QA90 .C54 1994", bibdate = "Thu Oct 20 05:36:46 MDT 2005", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", acknowledgement = ack-nhfb, keywords = "S-Plus", subject = "Graphic methods", } @Book{Everitt:1994:HSA, author = "Brian S. Everitt", title = "A Handbook of Statistical Analyses using {S-PLUS}", publisher = pub-CHAPMAN-HALL, address = pub-CHAPMAN-HALL:adr, pages = "viii + 143", year = "1994", ISBN = "0-412-56310-X", ISBN-13 = "978-0-412-56310-2", LCCN = "QA276.4.E93 1994", bibdate = "Tue Jun 01 15:14:23 1999", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, } @TechReport{Farrell:1994:HDB, author = "W. E. Farrell and J. Gaffney and J. Given and R. D. Jenkins and N. Hall", title = "A Hydrographic Database built on {Montage} and {S-PLUS}", type = "Technical Report", number = "S2K-94-47", institution = "University of California, Berkeley", address = "Berkeley, CA, USA", pages = "31", month = mar, year = "1994", bibdate = "Thu Apr 19 05:56:30 2001", bibsource = "ftp://ftp.math.utah.edu/pub/mirrors/ftp.ira.uka.de/bibliography/Techreports/NCSTRL/UCB.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", abstract = "A powerful software environment for research can be created by combining database management systems and commercial software for analysis and display of data. This provides a richer programming environment and more sophisticated graphical possibilities than are offered by present database systems. It provides a data storage and retrieval system that adheres to a standard syntax, SQL, and which is more robust than file-based approaches. Only recently has it become possible to combine these two kinds of software but increasingly database and scientific application software has the open architecture that is conducive to the data sharing that makes such combinations possible. New database systems also accommodate the complex types of data of interest to scientists. We have a way to link appropriate database software and scientific application software which is called the Generic Database Interface (GDI). In essence, it consists of a core set of functions, complemented by product-specific interface code which is unique to each database product and each application product. The GDI provides the mechanism for both submitting a SQL query to any supported database and also handling the data that are exchanged in satisfaction of the query. We illustrate the strength of this approach by applying it to tasks involving selection and display of ocean temperature data using the Montage database management system and the S-PLUS statistics application. The examples illustrate a few of the novel capabilities of this approach; they do not comprise a complete data processing application.", } @Misc{Gersten:1994:PAI, author = "R. Carey Gersten", title = "{S-PLUS} for {ARC\slash INFO}: your link to a powerful statistical view", publisher = pub-STATSCI, address = pub-STATSCI:adr, year = "1994", LCCN = "G70.2 .S65 1994 VIDEO/C Reserve", bibdate = "Tue Feb 20 11:55:12 MST 2001", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", note = "Credits: Producer, R. Carey Gersten. Demonstrates the advantages of combining the ARC/INFO computer program with S-PLUS, as a means of GIS analysis to provide more productive and insightful spatial analysis and statistical modeling. Applications are broad including natural resource planning, business geodemographic analysis and urban and rural planning.", acknowledgement = ack-nhfb, keywords = "ARC/INFO (computer program); geographic information systems; geography -- data processing; information storage and retrieval systems -- geography; S-PLUS (computer program)", } @InProceedings{LoPresti:1994:IOO, author = "C. A. {Lo Presti}", title = "Implementation of the Object Oriented Paradigm in {S-Plus}", crossref = "IEEE:1994:NCR", pages = "170--177", year = "1994", bibdate = "Tue May 7 12:13:22 MDT 1996", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, } @Misc{MathSoft:1994:PAI, author = "{MathSoft, Inc.}", title = "{S-PLUS} for {ARC\slash INFO}: your link to a powerful statistical view", howpublished = "Video recording (12 min.) plus text (48 p.).", publisher = pub-STATSCI, address = pub-STATSCI:adr, year = "1994", bibdate = "Tue Jan 28 14:17:05 1997", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", } @Article{Nason:1994:DWT, author = "G. P. Nason and B. W. Silverman", title = "The Discrete Wavelet Transform in {S}", journal = j-J-COMPUT-GRAPH-STAT, volume = "3", number = "2", pages = "163--191", year = "1994", CODEN = "????", DOI = "https://doi.org/10.1080/10618600.1994.10474637", ISSN = "1061-8600 (print), 1537-2715 (electronic)", ISSN-L = "1061-8600", bibdate = "Thu Aug 13 10:27:41 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/jcomputgraphstat.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.tandfonline.com/doi/abs/10.1080/10618600.1994.10474637", acknowledgement = ack-nhfb, fjournal = "Journal of Computational and Graphical Statistics", journal-URL = "http://www.amstat.org/publications/jcgs/; http://www.tandfonline.com/loi/ucgs20", onlinedate = "21 Feb 2012", } @Book{Spector:1994:IP, author = "Phil Spector", title = "An Introduction to {S} and {S-Plus}", publisher = pub-DUXBURY, address = pub-DUXBURY:adr, pages = "xiii + 286", year = "1994", ISBN = "0-534-19866-X", ISBN-13 = "978-0-534-19866-4", LCCN = "QA76.73.S15 S63 1994", bibdate = "Wed Aug 10 13:40:49 1994", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", price = "US\$28.95", acknowledgement = ack-nhfb, keywords = "S (computer programming language)", tableofcontents = "Preface \\ 1. Introduction / 1 \\ 2. Data in S / 15 \\ 3. Operators and Functions / 43 \\ 4. Introduction to Graphics in S / 75 \\ 5. Subsetting and Reshaping Data / 89 \\ 6. Functions in S / 113 \\ 7. Programming in S / 147 \\ 8. Printing and Formatting / 171 \\ 9. Advanced Graphics / 183 \\ 10. Statistical Models / 215 \\ 11. Applied Statistical Models / 259 \\ Index / 278", } @Book{Venables:1994:MAS, author = "William N. Venables and Brian D. Ripley", title = "Modern Applied Statistics with {S-PLUS}", publisher = pub-SV, address = pub-SV:adr, pages = "xii + 462", year = "1994", ISBN = "0-387-94350-1 (New York), 3-540-94350-1 (Berlin)", ISBN-13 = "978-0-387-94350-3 (New York), 978-3-540-94350-1 (Berlin)", LCCN = "QA276.4 .V46 1994", bibdate = "Tue May 07 12:49:41 1996", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, } @InProceedings{Wolfe:1994:GOR, author = "M. A. Wolfe", title = "On Global Optimization in {R} Using Interval Arithmetic", crossref = "Bianco:1994:MAM", pages = "61--76", year = "1994", bibdate = "Mon Oct 20 07:16:07 MDT 1997", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, } @InProceedings{Anonymous:1995:S, author = "Anonymous", title = "{S-PLUS}", crossref = "Bartley:1995:FET", pages = "299--299", year = "1995", bibdate = "Tue May 7 12:13:22 MDT 1996", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, } @Article{Calaway:1995:OOP, author = "Richard Calaway", title = "Object-Oriented Programming in {S}", journal = j-DDJ, volume = "20", number = "10", pages = "44, 46, 48--49, 51, 113--115", month = oct, year = "1995", CODEN = "DDJOEB", ISSN = "1044-789X", bibdate = "Thu Jan 9 09:35:43 MST 1997", bibsource = "Compendex database; http://www.ddj.com/index/author/index.htm; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, classification = "723.1; 723.1.1; 723.2; 723.3; 922.2; C6110J (Object-oriented programming); C6120 (File organisation); C6140D (High level languages)", fjournal = "Dr. Dobb's Journal of Software Tools", journalabr = "Dr Dobb's J Software Tools Prof Program", keywords = "Browser function; Character sets; Classes; Computer software; Data analysis; Data reduction; Data structures; Database systems; Default; Functions; Generic function; Generic functions; Graphics; Group methods; High level languages; High level object oriented language; Object oriented programming; Object-oriented programming; Regression analysis; Replacement methods; S (programming language); S language; S-Plus classes; Statistical tests; Systems analysis; Time series analysis", pagecount = "5", thesaurus = "Abstract data types; Complete computer programs; Object-oriented languages; Object-oriented programming", } @TechReport{Chambers:1995:OV, author = "J. M. Chambers", title = "Overview of Version 4 of {S}", institution = "AT\&T Bell Laboratories", address = "Murray Hill, NJ, USA", day = "23", month = jan, year = "1995", bibdate = "Tue Jun 01 15:09:33 1999", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, } @TechReport{Clement:1995:DPP, author = "Mark J. Clement and Michael J. Quinn", title = "Dynamic Performance Prediction For Scalable Parallel Computing", type = "Technical Report", number = "95-80-04", institution = "Oregon State University", address = "Corvallis, OR, USA", year = "1995", bibdate = "Thu Apr 19 05:54:59 2001", bibsource = "ftp://ftp.math.utah.edu/pub/mirrors/ftp.ira.uka.de/bibliography/Techreports/NCSTRL/ORST.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", abstract = "Performance prediction is necessary in order to deal with multi-dimensional performance effects on parallel systems. The compiler-generated analytical model developed in this paper accounts for the effects of cache behavior, CPU execution time and message passing overhead for real programs written in high level data-parallel languages. The performance prediction technique is shown to be effective in analyzing several non-trivial applications as the problem size and number of processors vary. We leverage technology from the maple symbolic manipulation system and the S-PLUS statistical package in order to present users with critical performance information necessary for performance debugging, architectural enhancement and procurement of parallel systems. The usability of these results is improved through specifying confidence intervals as well as predicted execution times for parallel applications. Cost optimal analysis techniques are also developed using the symbolic equations for execution time.", } @Article{Davies:1995:BRBd, author = "Neville Davies", title = "Book Review: {{\booktitle{A Handbook of Statistical Analysis Using S-Plus}}, by B. S. Everitt}", journal = j-J-R-STAT-SOC-SER-A-STAT-SOC, volume = "158", number = "3", pages = "633--634", month = "????", year = "1995", CODEN = "JSSAEF", DOI = "https://doi.org/10.2307/2983455", ISSN = "0964-1998 (print), 1467-985X (electronic)", ISSN-L = "0964-1998", bibdate = "Sat Jan 24 15:13:39 MST 2015", bibsource = "http://www.jstor.org/stable/i349661; https://www.math.utah.edu/pub/tex/bib/jrss-a-1990.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstor.org/stable/2983455", acknowledgement = ack-nhfb, fjournal = "Journal of the Royal Statistical Society. Series A (Statistics in Society)", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-985X; http://www.jstor.org/journals/09641998.html", } @Article{Grunsky:1995:PTD, author = "Eric Grunsky", title = "{S-PLUS} Trellis Displays", journal = j-COMP-GEOSCI, volume = "21", number = "7", pages = "917--??", year = "1995", CODEN = "CGOSDN", ISSN = "0098-3004 (print), 1873-7803 (electronic)", ISSN-L = "0098-3004", bibdate = "Mon Feb 5 11:41:22 MST 1996", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, fjournal = "Computers and Geosciences", } @Article{Kimber:1995:BRB, author = "Alan Kimber", title = "Book Review: {{\booktitle{A Handbook of Statistical Analyses Using S-Plus}}, by B. S. Everitt}", journal = j-J-R-STAT-SOC-SER-D-STATISTICIAN, volume = "44", number = "3", pages = "408--409", month = "????", year = "1995", CODEN = "????", DOI = "https://doi.org/10.2307/2348714", ISSN = "0039-0526 (print), 1467-9884 (electronic)", ISSN-L = "0039-0526", bibdate = "Thu Jan 22 18:10:22 MST 2015", bibsource = "http://www.jstor.org/stable/i316150; https://www.math.utah.edu/pub/tex/bib/jrss-d-1990.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstor.org/stable/2348714", acknowledgement = ack-nhfb, fjournal = "Journal of the Royal Statistical Society. Series D (The Statistician)", journal-URL = "http://www.jstor.org/journals/00390526.html", } @Article{Ko:1995:BRBa, author = "Daijin Ko", title = "Book Review: {{\booktitle{An Introduction to S and S-Plus}} by Phil Spector}", journal = j-TECHNOMETRICS, volume = "37", number = "2", pages = "232--232", month = may, year = "1995", CODEN = "TCMTA2", DOI = "https://doi.org/10.2307/1269629", ISSN = "0040-1706 (print), 1537-2723 (electronic)", ISSN-L = "0040-1706", bibdate = "Sat Jun 21 13:20:08 MDT 2014", bibsource = "http://www.jstor.org/journals/00401706.html; http://www.jstor.org/stable/i254361; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/technometrics1990.bib", URL = "http://www.jstor.org/stable/1269629", acknowledgement = ack-nhfb, fjournal = "Technometrics", journal-URL = "http://www.jstor.org/journals/00401706.html", } @Article{Ko:1995:BRBb, author = "Daijin Ko", title = "Book Review: {{\booktitle{A Handbook of Statistical Analyses Using S-Plus}} by Brian S. Everitt}", journal = j-TECHNOMETRICS, volume = "37", number = "2", pages = "232--233", month = may, year = "1995", CODEN = "TCMTA2", DOI = "https://doi.org/10.2307/1269630", ISSN = "0040-1706 (print), 1537-2723 (electronic)", ISSN-L = "0040-1706", bibdate = "Sat Jun 21 13:20:08 MDT 2014", bibsource = "http://www.jstor.org/journals/00401706.html; http://www.jstor.org/stable/i254361; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/technometrics1990.bib", URL = "http://www.jstor.org/stable/1269630", acknowledgement = ack-nhfb, fjournal = "Technometrics", journal-URL = "http://www.jstor.org/journals/00401706.html", } @Article{Krause:1995:ESS, author = "Andreas Krause", title = "Electronic Services in Statistics", journal = "Statistical Software Newsletter in Computational Statistics and Data Analysis", volume = "19", number = "5", pages = "595--604", year = "1995", CODEN = "CSDADW", ISSN = "0167-9473 (print), 1872-7352 (electronic)", bibdate = "Tue Jun 01 15:18:14 1999", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.genedata.com/~andreas/internet/internet.html", acknowledgement = ack-nhfb, } @InProceedings{Langston:1995:CMR, author = "R. Langston", title = "A Comparison of the {MODULE} routines with {S-PLUS} Extensibility", crossref = "Anonymous:1995:ACA", pages = "1402--1405", year = "1995", bibdate = "Tue May 7 12:13:22 MDT 1996", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, } @TechReport{Olsen:1995:SCH, author = "N. H. Olsen and Pacific Biological Station", title = "Software to complement {HTI}'s model 240 split-beam echosounder: a user's guide to {HAFU} (Hydro-Acoustic File Utilities) and {QTS} ({Qualark Tools for S-Plus})", type = "Technical report", number = "2037", institution = "Fisheries and Oceans, Canada", address = "Nanaimo, BC, Canada", pages = "vii + 45", year = "1995", ISSN = "0706-6457", bibdate = "Tue Sep 22 08:25:09 MDT 1998", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", series = "Canadian technical report of fisheries and aquatic sciences", acknowledgement = ack-nhfb, annote = "Microfiche. [Ottawa]: [Minister of Supply and Services Canada], 1995. 1 microfiche: negative.", govtdocnumber = "DSS Cat. no. Fs 97-6/2037E", } @Article{Schulman:1995:DAU, author = "Daniel A. Schulman and Alec D. Campbell and Eric C. Kostello", title = "Data Analysis Using {S-Plus}", journal = j-SOC-METH-RES, volume = "23", number = "3", pages = "392--??", month = feb, year = "1995", ISSN = "0049-1241 (print), 1552-8294 (electronic)", ISSN-L = "0049-1241", bibdate = "Mon Feb 5 11:41:22 MST 1996", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, fjournal = "Sociological Methods and Research", } @Manual{StatSci:1995:PGI, title = "{S-PLUS} Global Index", organization = pub-STATSCI, address = pub-STATSCI:adr, pages = "various", month = apr, year = "1995", bibdate = "Wed Mar 12 15:14:41 1997", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, } @Manual{StatSci:1995:PIM, title = "{S-PLUS} Installation and Maintenance Manual, Version 3.3", organization = pub-STATSCI, address = pub-STATSCI:adr, pages = "various", month = apr, year = "1995", bibdate = "Wed Mar 12 15:14:41 1997", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, } @Manual{StatSci:1995:PTD, title = "{S-PLUS} {Trellis} Displays User's Manual, Version 3.3", organization = pub-STATSCI, address = pub-STATSCI:adr, pages = "various", month = apr, year = "1995", bibdate = "Wed Mar 12 15:14:41 1997", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, } @Manual{StatSci:1995:PVS, title = "{S-PLUS} Version 3.3 Supplement", organization = pub-STATSCI, address = pub-STATSCI:adr, pages = "various", month = apr, year = "1995", bibdate = "Wed Mar 12 15:14:41 1997", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, } @Manual{StatSci:1995:RMF, title = "Read Me First, Version 3.3", organization = pub-STATSCI, address = pub-STATSCI:adr, pages = "ii + 24", month = apr, year = "1995", bibdate = "Wed Mar 12 15:14:41 1997", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, } @Misc{StatSci:1995:S, author = "{Statistical Sciences, Inc}", title = "{S-Plus}", publisher = pub-STATSCI, address = pub-STATSCI:adr, edition = "Version 3.3 for X-windows.", year = "1995", bibdate = "Tue Sep 22 08:25:09 MDT 1998", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, annote = "Software available to licenced users via FTP. Manuals include: Gentle introduction to S-Plus. Version 3.2; S- PLUS version 3.3 supplement; Read me first; S-Plus programmer's manual. Version 3.2; S-Plus trellis displays User's manual; S- Plus global index; A crash course in S-Plus. Version 3.2; S-Plus guide to statistical and mathematical analysis. Version 3.2; S- Plus user's manual. Version 3.2. Graphical data analysis system and object-oriented programming language. System requirements: SUN Sparc, IBM RS/6000, Hewlett--Packard 9000- 700, Silicon Graphics IRIS, DECstation, DEC Alpha/OSF; 16 MB of RAM; Hard disk with 55 MB of free disk space; UNIX graphics devices support: X-Window system (Motif or OPEN LOOK), various graphics terminals; line printer/character graphics; hardcopy: PostScript, HP Laserjet, HPGL, color PostScript pixel image graphics.", keywords = "Mathematical statistics -- Computer programs.", } @Manual{StatSci:1995:SUM, title = "{S-PLUS} user's manual", organization = pub-STATSCI, address = pub-STATSCI:adr, edition = "Version 3.3.", pages = "various", month = sep, year = "1995", bibdate = "Tue Sep 22 08:25:09 MDT 1998", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, alttitle = "S PLUS user's manual", keywords = "Mathematical statistics -- Computer programs; S-Plus", } @MastersThesis{Yang:1995:RMV, author = "Ying Yang", title = "Random-effects model validation: a program package using a {FORTRAN} program ({REML}) and {S-plus}", type = "Thesis ({M.S.})", school = "Graduate School of Public Health, University of Pittsburgh", address = "Pittsburgh, PA, USA", pages = "v + 126", year = "1995", bibdate = "Tue Sep 22 08:25:09 MDT 1998", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, } @Article{Anonymous:1996:MAS, author = "Anonymous", title = "Book Review: {{\booktitle{Modern Applied Statistics with S-Plus}}, by W. N. Venables, B. D. Ripley}", journal = j-BIOMETRICS, volume = "52", number = "4", pages = "1528", month = dec, year = "1996", CODEN = "BIOMB6", DOI = "https://doi.org/10.2307/2532871", ISSN = "0006-341X (print), 1541-0420 (electronic)", ISSN-L = "0006-341X", bibdate = "Thu Sep 19 17:29:40 MDT 2024", bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics1990.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "https://www.jstor.org/stable/2532871", acknowledgement = ack-nhfb, fjournal = "Biometrics", journal-URL = "https://www.jstor.org/journal/biometrics", } @Article{Anonymous:1996:SBP, author = "Anonymous", title = "{S+SpatialStats} builds on {S-Plus} technology", journal = j-SILICON-GRAPHICS-WORLD, volume = "6", number = "6", pages = "15--15", month = jun, year = "1996", ISSN = "1057-7041", bibdate = "Mon Jun 03 11:44:12 1996", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, fjournal = "Silicon Graphics World", } @Book{Bartoszynski:1996:PSI, author = "Robert Bartoszy{\'n}ski and Magdalena Niewiadomska-Bugaj", title = "Probability and statistical inference", publisher = pub-WILEY, address = pub-WILEY:adr, pages = "xvi + 826", year = "1996", ISBN = "0-471-31073-5 (cloth)", ISBN-13 = "978-0-471-31073-0 (cloth)", LCCN = "QA273 .B2584 1996", bibdate = "Wed Sep 15 11:27:49 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Wiley series in probability and statistics", URL = "http://www.loc.gov/catdir/description/wiley031/96004105.html; http://www.loc.gov/catdir/enhancements/fy0806/96004105-b.html; http://www.loc.gov/catdir/toc/onix01/96004105.html", acknowledgement = ack-nhfb, remark = "See also second edition \cite{Bartoszynski:2007:PSI}.", subject = "probabilities; mathematical statistics", } @Article{Becker:1996:VDC, author = "R. A. Becker and W. S. Cleveland and M.-J. Shyu", title = "The Visual Design and Control of Trellis Display", journal = j-J-COMPUT-GRAPH-STAT, volume = "5", number = "2", pages = "123--155", year = "1996", ISSN = "1061-8600 (print), 1537-2715 (electronic)", ISSN-L = "1061-8600", bibdate = "Tue Jun 01 15:00:30 1999", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, fjournal = "Journal of Computational and Graphical Statistics", journal-URL = "http://www.tandfonline.com/loi/ucgs20", } @Book{Bruce:1996:AWA, author = "Andrew Bruce and Hong-Ye Gao", title = "Applied wavelet analysis with {S-Plus}", publisher = pub-SV, address = pub-SV:adr, pages = "xxi + 338", year = "1996", ISBN = "0-387-94714-0 (softcover)", ISBN-13 = "978-0-387-94714-3 (softcover)", LCCN = "TK5102.9.B78 1996", bibdate = "Tue Sep 22 08:25:09 MDT 1998", bibsource = "ftp://ftp.math.utah.edu/pub/mirrors/ftp.ira.uka.de/bibliography/Theory/Wavelets/brandon.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.springer-ny.com/catalog/np/jul96np/DATA/0-387-94714-0.html", abstract = "This book introduces applied wavelet analysis through the S-PLUS software system. Using a visual data analysis approach, wavelet concepts are explained in a way that is intuitive and easy to understand. In addition to wavelets, a whole range of related signal processing techniques such as wavelet packets, local cosine analysis, and matching pursuits are covered. Applications of wavelet analysis are illustrated, including nonparametric function estimation, digital image compression, and time-frequency signal analysis. The book and software is intended for a broad range of data analysts, scientists, and engineers. While most textbooks on wavelet analysis require advanced training in mathematics, this book minimizes reliance on formal mathematical methods. Readers should be familiar with calculus and linear algebra at the undergraduate level.", acknowledgement = ack-nhfb, keywords = "Computer-aided engineering.; S (Computer program language); Signal processing -- Mathematics; Wavelets (Mathematics) -- Data processing", } @Article{Hilbe:1996:WFC, author = "Joseph Hilbe", title = "{Windows} File Conversion Software", journal = j-AMER-STAT, volume = "50", number = "3", pages = "268--??", month = "????", year = "1996", CODEN = "ASTAAJ", ISSN = "0003-1305 (print), 1537-2731 (electronic)", ISSN-L = "0003-1305", bibdate = "Mon May 5 07:48:12 MDT 1997", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, fjournal = "The American Statistician", journal-URL = "http://www.tandfonline.com/loi/utas20", } @Book{Huet:1996:STN, author = "S. (Sylvie) Huet and others", title = "Statistical tools for nonlinear regression: a practical guide with {S-PLUS} examples", publisher = pub-SV, address = pub-SV:adr, pages = "ix + 154", year = "1996", ISBN = "0-387-94727-2", ISBN-13 = "978-0-387-94727-3", LCCN = "QA278.2.S73 1996", bibdate = "Tue Sep 22 08:25:09 MDT 1998", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", series = "Springer series in statistics", acknowledgement = ack-nhfb, keywords = "Nonlinear theories; Parameter estimation.; Regression analysis", } @Article{Ihaka:1996:RLD, author = "Ross Ihaka and Robert Gentleman", title = "{R}: a Language for Data Analysis and Graphics", journal = j-J-COMPUT-GRAPH-STAT, volume = "5", number = "3", pages = "299--314", year = "1996", CODEN = "????", DOI = "https://doi.org/10.1080/10618600.1996.10474713", ISSN = "1061-8600 (print), 1537-2715 (electronic)", ISSN-L = "1061-8600", bibdate = "Thu Aug 13 10:27:44 MDT 2020", bibsource = "http://www.amstat.org/publications/jcgs/; https://www.math.utah.edu/pub/tex/bib/jcomputgraphstat.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", note = "This is the paper that introduced the open-source R system that grew out of S and S-Plus, independently developed without reference to the source code of those predecessors, but intended to be largely upward compatible with version of the S language. R version 1.0.0 was released on 29 February 2000.", URL = "http://www.tandfonline.com/doi/abs/10.1080/10618600.1996.10474713", acknowledgement = ack-nhfb, fjournal = "Journal of Computational and Graphical Statistics", journal-URL = "http://www.amstat.org/publications/jcgs/", onlinedate = "21 Feb 2012", } @Article{James:1996:BRB, author = "David A. James", title = "Book Review: {{\booktitle{Modern Applied Statistics with S-PLUS}} by W. N. Venables; B. D. Ripley}", journal = j-TECHNOMETRICS, volume = "38", number = "1", pages = "77--78", month = feb, year = "1996", CODEN = "TCMTA2", DOI = "https://doi.org/10.2307/1268908", ISSN = "0040-1706 (print), 1537-2723 (electronic)", ISSN-L = "0040-1706", bibdate = "Sat Jun 21 13:20:11 MDT 2014", bibsource = "http://www.jstor.org/journals/00401706.html; http://www.jstor.org/stable/i254364; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/technometrics1990.bib", URL = "http://www.jstor.org/stable/1268908", acknowledgement = ack-nhfb, fjournal = "Technometrics", journal-URL = "http://www.jstor.org/journals/00401706.html", } @InProceedings{Read:1996:BMU, author = "Edith Read and Jennifer Gough", booktitle = "Geography connects our world. Title: 1996 {ESRI} User Conference: proceedings, May 20--24, 1996, Palm Springs, {CA}", title = "Beyond Mapping Using {GIS} for National Resource Assessment and Analysis", publisher = "Environmental Systems Research Institute", address = "Redlands, CA, USA", year = "1996", LCCN = "G70.212 .E87 1996", bibdate = "Thu Apr 19 06:07:43 2001", bibsource = "ftp://ftp.math.utah.edu/pub/mirrors/ftp.ira.uka.de/bibliography/Database/GIS/esri96.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", abstract = "Many agencies and private companies now use GIS as a tool for producing maps of wildlife habitats and other natural resources. The next step in application of GIS is data analysis to address issues of specific concern to resource managers. We present three diverse examples which show how GIS can be applied to relationships between hydrological and biological resources. In the first example, we show cation-anion characteristics of spring water in the San Bernardino Mountains of California. Plots of the data in the form of Stiff diagrams clearly illustrate differences between calcareous, hydrothermal waters along a fault line and artesian waters that typify most of the sample sites. Further study is needed to determine if such differences help explain the patchy distribution of certain wetland plant species within the San Bernardino Mountains. In the second example, we show application of GIS to vegetation transect and hydrological data obtained as part of a long-term riparian monitoring program in the Sierra Nevada of California. Box-and-whisker plots of the data using S-Plus (StatSci Division, Mathsoft, Inc., Seattle, Washington, USA) prove especially useful in showing the distribution of wetland indicators in relation to distance from stream. The third example shows habitat analysis for the Santa Ana River woolly star, an endangered plant species whose life cycle is linked to flooding frequency and diversity in successional stage of alluvial terraces within the floodplain.", xxISBN = "none", } @Article{Tilke:1996:BRBa, author = "Clemens Tilke", title = "Book Review: {{\booktitle{A handbook of statistical analyses using S-Plus}}: Brian S. Everitt (1994): Chapman \& Hall, 143 p., \pounds 14.99, ISBN 0-412-56310-X}", journal = j-COMPUT-STAT-DATA-ANAL, volume = "21", number = "5", pages = "606", month = may, year = "1996", CODEN = "CSDADW", ISSN = "0167-9473 (print), 1872-7352 (electronic)", ISSN-L = "0167-9473", bibdate = "Fri Feb 6 11:40:04 MST 2015", bibsource = "https://www.math.utah.edu/pub/tex/bib/computstatdataanal1990.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.sciencedirect.com/science/article/pii/S0167947396901395", acknowledgement = ack-nhfb, fjournal = "Computational Statistics \& Data Analysis", journal-URL = "http://www.sciencedirect.com/science/journal/01679473", } @Article{Abrams:1997:BRM, author = "Keith R. Abrams", title = "Book Review: {{\booktitle{Modern Applied Statistics with S-PLUS}}. W. N. Venables and B. D. Ripley, Springer-Verlag, New York, 1994. No. of pages: xiii + 462 + 3.5 inch diskette. Price: \pounds 24.50. ISBN: 0-387-94350-1}", journal = j-STAT-MED, volume = "16", number = "13", pages = "1548--1550", day = "15", month = jul, year = "1997", CODEN = "SMEDDA", DOI = "https://doi.org/10.1002/%28SICI%291097-0258%2819970715%2916%3A13%3C1548%3A%3AAID-SIM561%3E3.0.CO%3B2-U", ISSN = "0277-6715 (print), 1097-0258 (electronic)", ISSN-L = "0277-6715", bibdate = "Sat Jun 27 15:45:32 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/statmed1990.bib", acknowledgement = ack-nhfb, ajournal = "Stat. Med.", fjournal = "Statistics in Medicine", journal-URL = "https://onlinelibrary.wiley.com/journal/10970258", onlinedate = "04 December 1998", } @Book{Anonymous:1997:PLD, author = "Anonymous", title = "{S-PLUS: learning by doing; eine Anleitung zum Arbeiten mit S-PLUS}", publisher = "Lucius und Lucius", address = "Stuttgart, Germany", pages = "xii + 126", year = "1997", ISBN = "3-8282-0049-4", ISBN-13 = "978-3-8282-0049-4", LCCN = "????", bibdate = "Fri May 21 10:32:51 MDT 1999", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, annote = "Mixed media.", } @Book{Bowman:1997:AST, author = "Adrian W. Bowman and Adelchi Azzalini", title = "Applied smoothing techniques for data analysis: the kernel approach with {S-Plus} illustrations", volume = "18", publisher = pub-OXFORD, address = pub-OXFORD:adr, pages = "xi + 193", year = "1997", ISBN = "0-19-852396-3", ISBN-13 = "978-0-19-852396-3", LCCN = "QA278.B68 1997", bibdate = "Tue Sep 22 08:25:09 MDT 1998", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", series = "Oxford statistical science series", acknowledgement = ack-nhfb, keywords = "Smoothing (Statistics)", } @Article{Cribari-Neto:1997:EPE, author = "Francisco Cribari-Neto", title = "Econometric programming environments: {GAUSS}, {Ox} and {S-Plus}", journal = j-J-APPL-ECONOMETRICS, volume = "12", number = "1", pages = "77--89", month = jan, year = "1997", CODEN = "JAECET", DOI = "https://doi.org/10.1002/%28SICI%291099-1255%28199701%2912%3A1%3C77%3A%3AAID-JAE425%3E3.0.CO%3B2-0", ISSN = "0883-7252 (print), 1099-1255 (electronic)", ISSN-L = "0883-7252", bibdate = "Sat Mar 9 10:19:51 MST 2019", bibsource = "https://www.math.utah.edu/pub/tex/bib/jappleconometrics.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, fjournal = "Journal of Applied Econometrics", journal-URL = "https://onlinelibrary.wiley.com/journal/10991255; https://www.jstor.org/journal/japplecon", onlinedate = "January 1997", } @Book{Davison:1997:BMT, author = "A. C. (Anthony Christopher) Davison and D. V. Hinkley", title = "Bootstrap methods and their application", publisher = pub-CAMBRIDGE, address = pub-CAMBRIDGE:adr, pages = "x + 582", year = "1997", ISBN = "0-521-57391-2 (hardcover), 0-521-57471-4 (paperback)", ISBN-13 = "978-0-521-57391-7 (hardcover), 978-0-521-57471-6 (paperback)", LCCN = "QA276.8 .D38 1997", bibdate = "Tue Feb 20 11:55:12 MST 2001", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", series = "Cambridge series on statistical and probabilistic mathematics", acknowledgement = ack-nhfb, keywords = "bootstrap (statistics); Splus for Windows", } @Book{Krause:1997:BP, author = "Andreas Krause and Melvin Olson", title = "The basics of {S} and {S-Plus}", publisher = pub-SV, address = pub-SV:adr, pages = "xi + 242", year = "1997", ISBN = "0-387-94985-2", ISBN-13 = "978-0-387-94985-7", LCCN = "QA276.4 .K73 1997", bibdate = "Tue Sep 22 08:16:22 1998", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", series = "Statistics and computing", acknowledgement = ack-nhfb, keywords = "Mathematical statistics -- Data processing.; S-Plus", } @Book{Krause:1997:EPA, author = "Andreas Krause", title = "{Einf{\"u}hrung in S und S-Plus: mit Aufgaben und vollstandigen L{\"o}sungen}", publisher = pub-SV, address = pub-SV:adr, pages = "xviii + 319", year = "1997", ISBN = "3-540-60932-6 (paperback)", ISBN-13 = "978-3-540-60932-2 (paperback)", LCCN = "????", bibdate = "Tue Sep 22 08:25:09 MDT 1998", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, keywords = "Mathematical statistics -- Data processing.; S-Plus", } @MastersThesis{Lasecki:1997:PFF, author = "Jennifer L. Lasecki", title = "{S-Plus} functions and {Fortran} subroutines for multiple comparison critical points", type = "Thesis ({M.S.})", school = "University of South Carolina", address = "Columbia, SC, USA", pages = "v + 68", year = "1997", bibdate = "Tue Sep 22 08:25:09 MDT 1998", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, } @InProceedings{Martin:1997:PDI, author = "R. Douglas Martin and Vikram Chalana", title = "The {S-PLUS DataBlade} for {INFORMIX-Universal} Server: The Natural Wedding of an Object Relational Database with an Object-Oriented Data Analysis Engine", crossref = "Hansen:1997:ICS", pages = "126--130", year = "1997", bibdate = "Thu Apr 19 06:31:49 2001", bibsource = "http://dblp.uni-trier.de/db/conf/ssdbm/ssdbm97.html#MartinC97; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://dblp.uni-trier.de/db/conf/ssdbm/MartinC97.html", cdrom = "SSDBM97/P126.pdf", oldlabel = "conf/ssdbm/MartinC97", XMLdata = "ftp://ftp.informatik.uni-trier.de/pub/users/Ley/bib/records.tar.gz#conf/ssdbm/MartinC97", } @Article{Pillai:1997:MSD, author = "Krishnakumar Pillai and V. S. Sukumaran Nair", title = "A Model for Software Development Effort and Cost Estimation", journal = j-IEEE-TRANS-SOFTW-ENG, volume = "23", number = "8", pages = "485--497", month = aug, year = "1997", CODEN = "IESEDJ", DOI = "https://doi.org/10.1109/32.624305", ISSN = "0098-5589 (print), 1939-3520 (electronic)", ISSN-L = "0098-5589", bibdate = "Thu Apr 19 05:59:09 2001", bibsource = "ftp://ftp.math.utah.edu/pub/mirrors/ftp.ira.uka.de/bibliography/SE/SEPL.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", abstract = "Several algorithmic models have been proposed to estimate software costs and other management parameters. Early prediction of completion time is absolutely essential for proper advance planning and aversion of the possible ruin of a project. Putnam's SLIM model offers a fairly reliable method that is used extensively to predict project completion times and manpower requirements as the project evolves. However, the nature of the Norden/Rayleigh curve used by Putnam, renders it unreliable during the initial phases of the project, especially in projects involving a fast manpower buildup, as is the case with most software projects. In this paper, we propose the use of a model that improves early prediction considerably over the Putnam model. An analytic proof of the model's improved performance is also demonstrated on simulated data.", annote = "incomplete", fjournal = "IEEE Transactions on Software Engineering", journal-URL = "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=32", keywords = "Completion time, development time, early prediction, Gamma model, manpower, Norden/Rayleigh model", } @Manual{StatSci:1997:SGS, title = "{SPlus-4} Guide to Statistics", organization = pub-STATSCI, address = pub-STATSCI:adr, pages = "xviii + 875", month = jul, year = "1997", bibdate = "Tue Jan 12 11:12:20 1999", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", note = "Order number R620203.", acknowledgement = ack-nhfb, } @Manual{StatSci:1997:SPG, title = "{SPlus-4} Programmer's Guide", organization = pub-STATSCI, address = pub-STATSCI:adr, pages = "xvi + 17--581", month = aug, year = "1997", bibdate = "Tue Jan 12 11:12:20 1999", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", note = "Order number R620201.", acknowledgement = ack-nhfb, } @Manual{StatSci:1997:SUG, title = "{SPlus-4} User's Guide", organization = pub-STATSCI, address = pub-STATSCI:adr, pages = "xiv + 15--620", month = aug, year = "1997", bibdate = "Tue Jan 12 11:12:20 1999", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", note = "Order number R620199.", acknowledgement = ack-nhfb, } @Article{Struyf:1997:IRC, author = "Anja Struyf and Mia Hubert and Peter J. Rousseeuw", title = "Integrating robust clustering techniques in {S-PLUS}", journal = j-COMPUT-STAT-DATA-ANAL, volume = "26", number = "1", pages = "17--37", day = "6", month = nov, year = "1997", CODEN = "CSDADW", ISSN = "0167-9473 (print), 1872-7352 (electronic)", ISSN-L = "0167-9473", bibdate = "Fri Feb 6 11:40:22 MST 2015", bibsource = "ftp://ftp.math.utah.edu/pub/mirrors/ftp.ira.uka.de/bibliography/Math/UIA.bib; https://www.math.utah.edu/pub/tex/bib/computstatdataanal1990.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.sciencedirect.com/science/article/pii/S0167947397000200", acknowledgement = ack-nhfb, fjournal = "Computational Statistics \& Data Analysis", journal-URL = "http://www.sciencedirect.com/science/journal/01679473", keywords = "SFT SRV", } @PhdThesis{TempleLang:1997:MTE, author = "Duncan Walter {Temple Lang}", title = "A Multi Threaded Extension to a High Level Interactive Statistical Computing Environment", type = "{Ph.D.} dissertation", school = "University of California, Berkeley", address = "Berkeley, CA, USA", pages = "vii + 161", year = "1997", bibdate = "Thu Aug 13 11:15:09 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "https://www.proquest.com/docview/304343859/", acknowledgement = ack-nhfb, keywords = "S language", } @Book{Venables:1997:MAS, author = "W. N. (William N.) Venables and Brian D. Ripley", title = "Modern applied statistics with {S-Plus}", publisher = pub-SV, address = pub-SV:adr, edition = "Second", pages = "xv + 548", year = "1997", ISBN = "0-387-98214-0", ISBN-13 = "978-0-387-98214-4", LCCN = "QA276.4 .V46 1997", bibdate = "Tue Sep 22 08:25:09 MDT 1998", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.stats.ox.ac.uk/pub/MASS2/", acknowledgement = ack-nhfb, annote = "The book's home page at the URL in this entry also discusses how to use the book with the R language.", keywords = "Mathematical statistics -- Data processing.; S-Plus; Statistics -- Data processing", } @Book{Anonymous:1998:S, author = "Anonymous", title = "{S-PLUS 4.5}", publisher = pub-DUXBURY-PRESS, address = pub-DUXBURY-PRESS:adr, edition = "Student", pages = "440", year = "1998", ISBN = "0-534-35873-X", ISBN-13 = "978-0-534-35873-0", LCCN = "????", bibdate = "Fri May 21 10:32:51 MDT 1999", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", note = "Includes CD-ROM.", acknowledgement = ack-nhfb, annote = "``MathSoft'' System requirements: 486 IBM compatible PC; 40MB or 108MB (full installation); Windows 95, Windows NT, or Windows 3.1x; graphics cards.", keywords = "Mathematical statistics -- Computer programs.", } @Article{Argyle:1998:BRBb, author = "Jennifer Argyle", title = "Book Review: {{\booktitle{Modern Applied Statistics with S-PLUS}}, by W. N. Venables; B. D. Ripley}", journal = j-J-R-STAT-SOC-SER-D-STATISTICIAN, volume = "47", number = "4", pages = "730--730", month = "????", year = "1998", CODEN = "????", DOI = "https://doi.org/10.2307/2988400", ISSN = "0039-0526 (print), 1467-9884 (electronic)", ISSN-L = "0039-0526", bibdate = "Thu Jan 22 18:10:23 MST 2015", bibsource = "http://www.jstor.org/stable/i350003; https://www.math.utah.edu/pub/tex/bib/jrss-d-1990.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstor.org/stable/2988400", acknowledgement = ack-nhfb, fjournal = "Journal of the Royal Statistical Society. Series D (The Statistician)", journal-URL = "http://www.jstor.org/journals/00390526.html", } @Book{Chambers:1998:PDG, author = "John M. Chambers", title = "Programming with Data: a Guide to the {S} Language", publisher = pub-SV, address = pub-SV:adr, pages = "xv + 469", year = "1998", ISBN = "0-387-91577-X", ISBN-13 = "978-0-387-91577-7", LCCN = "QA76.73.S15C483 1998", bibdate = "Tue Jan 12 11:17:07 1999", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, tableofcontents = "Highlights \\ Concepts \\ Quick Reference \\ Computations in S \\ Objects, Databases, and Chapters \\ Creating Functions \\ Creating Classes \\ Creating Methods \\ Documentation \\ Connections \\ Interfaces to C and Fortran \\ Programming in C with S objects \\ Compatibility with Older Versions", } @Article{Dalgaard:1998:BRSb, author = "Peter Dalgaard", title = "Book Review: {{\booktitle{Statistical Tools for Nonlinear Regression. A Practical Guide with S-Plus examples}}. Sylvie Huet, Annie Bouvier, Marie-Anne Gruet and Emmanuel Jolivet, Springer-Verlag, New York, 1996. No. of pages: ix + 154. Price: \pounds 28. ISBN 0-387-94727-2}", journal = j-STAT-MED, volume = "17", number = "23", pages = "2807--2807", day = "15", month = dec, year = "1998", CODEN = "SMEDDA", DOI = "https://doi.org/10.1002/%28SICI%291097-0258%2819981215%2917%3A23%3C2807%3A%3AAID-SIM4%3E3.0.CO%3B2-Y", ISSN = "0277-6715 (print), 1097-0258 (electronic)", ISSN-L = "0277-6715", bibdate = "Sat Jun 27 15:45:44 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/statmed1990.bib", acknowledgement = ack-nhfb, ajournal = "Stat. Med.", fjournal = "Statistics in Medicine", journal-URL = "https://onlinelibrary.wiley.com/journal/10970258", onlinedate = "08 January 1999", } @Article{Denison:1998:BRB, author = "David G. T. Denison", title = "Book Review: {{\booktitle{Applied Smoothing Techniques for Data Analysis --- The Kernel Approach with S-Plus Illustrations}}, by A. W. Bowman; A. Azzalini}", journal = j-J-R-STAT-SOC-SER-D-STATISTICIAN, volume = "47", number = "3", pages = "539--540", month = "????", year = "1998", CODEN = "????", DOI = "https://doi.org/10.2307/2988634", ISSN = "0039-0526 (print), 1467-9884 (electronic)", ISSN-L = "0039-0526", bibdate = "Thu Jan 22 18:10:23 MST 2015", bibsource = "http://www.jstor.org/stable/i350002; https://www.math.utah.edu/pub/tex/bib/jrss-d-1990.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstor.org/stable/2988634", acknowledgement = ack-nhfb, fjournal = "Journal of the Royal Statistical Society. Series D (The Statistician)", journal-URL = "http://www.jstor.org/journals/00390526.html", } @Article{Gentleman:1998:PCRb, author = "Robert Gentleman", title = "Personal Crunching: Review of {S-PLUS 4.5}", journal = j-CHANCE, volume = "11", number = "4", pages = "42--45", year = "1998", CODEN = "CNDCE4", DOI = "https://doi.org/10.1080/09332480.1998.10542124", ISSN = "0933-2480 (print), 1867-2280 (electronic)", ISSN-L = "0933-2480", bibdate = "Tue Feb 3 09:42:05 MST 2015", bibsource = "https://www.math.utah.edu/pub/tex/bib/chance.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, fjournal = "Chance: a magazine for people interested in the analysis of data", journal-URL = "http://chance.amstat.org/; http://link.springer.com/journal/144; http://www.tandfonline.com/loi/ucha20", } @Article{Hansen:1998:BRB, author = "Mark Hansen", title = "Book Review: {{\booktitle{Applied Wavelet Analysis with S-PLUS}} by Andrew Bruce; Hong-Ye Gao}", journal = j-TECHNOMETRICS, volume = "40", number = "2", pages = "159--159", month = may, year = "1998", CODEN = "TCMTA2", DOI = "https://doi.org/10.2307/1270657", ISSN = "0040-1706 (print), 1537-2723 (electronic)", ISSN-L = "0040-1706", bibdate = "Sat Jun 21 13:20:24 MDT 2014", bibsource = "http://www.jstor.org/journals/00401706.html; http://www.jstor.org/stable/i254373; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/technometrics1990.bib", URL = "http://www.jstor.org/stable/1270657", acknowledgement = ack-nhfb, fjournal = "Technometrics", journal-URL = "http://www.jstor.org/journals/00401706.html", } @TechReport{Ihaka:1998:RPF, author = "Ross Ihaka", title = "{R}: Past and Future History", institution = "????", year = "1998", bibdate = "Thu Aug 13 09:25:04 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", note = "Draft for 1998 Interface Symposium on Computer Science and Statistics", URL = "https://cran.r-project.org/doc/html/interface98-paper/paper.html", abstract = "R began as an experiment in trying to use the methods of Lisp implementors to build a small testbed which could be used to trial some ideas on how a statistical environment might be built. Early on, the decision was made to use an S-like syntax. Once that decision was made, the move toward being more and more like S has been irresistible.\par R has now outgrown its origins and its development is now a collaborative effort undertaken using the Internet to exchange ideas and distribute the results. The focus is now on how the initial experiment can be turned into a viable piece of free software.\par This paper reviews the past and present status of R and takes a brief look at where future development might lead.", acknowledgement = ack-nhfb, } @Book{Kaluzny:1998:SUM, author = "Stephen P. Kaluzny and Silvia C. Vega and Tamre P. Cardoso and Alice A. Shelly", title = "{S+SpatialStats}: User's manual for {Windows} and {UNIX}", publisher = pub-SV, address = pub-SV:adr, pages = "xvi + 327", year = "1998", ISBN = "0-387-98226-4", ISBN-13 = "978-0-387-98226-7", LCCN = "QA278.2 .S18 1998", bibdate = "Tue Aug 05 15:35:10 2003", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, } @Article{Machado:1998:BRBb, author = "Orlando Machado", title = "Book Review: {{\booktitle{The Basics of S and S-PLUS}}, by A. Krause; M. Olson}", journal = j-J-R-STAT-SOC-SER-D-STATISTICIAN, volume = "47", number = "3", pages = "550--551", month = "????", year = "1998", CODEN = "????", DOI = "https://doi.org/10.2307/2988648", ISSN = "0039-0526 (print), 1467-9884 (electronic)", ISSN-L = "0039-0526", bibdate = "Thu Jan 22 18:10:23 MST 2015", bibsource = "http://www.jstor.org/stable/i350002; https://www.math.utah.edu/pub/tex/bib/jrss-d-1990.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstor.org/stable/2988648", acknowledgement = ack-nhfb, fjournal = "Journal of the Royal Statistical Society. Series D (The Statistician)", journal-URL = "http://www.jstor.org/journals/00390526.html", } @Book{Mathsoft:1998:GSS, author = "{Mathsoft, Inc}", title = "Getting started with {S-Plus 4.5}", publisher = "Data Analysis Products Division, MathSoft, Inc.", address = "Seattle, WA, USA", pages = "48", month = apr, year = "1998", bibdate = "Fri May 21 10:32:51 MDT 1999", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, alttitle = "S-Plus 4: Discover the power of S.", keywords = "Mathematical statistics -- Computer programs", } @Book{Millard:1998:EPU, author = "Steven P. Millard", title = "{EnvironmentalStats} for {S-PLUS}: user's manual for {Windows} and {UNIX}", publisher = pub-SV, address = pub-SV:adr, pages = "xii + 381", year = "1998", ISBN = "0-387-98486-0", ISBN-13 = "978-0-387-98486-5", LCCN = "GE45.S73 M55 1998", bibdate = "Tue Sep 22 08:25:09 MDT 1998", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, keywords = "Environmental sciences -- Statistical methods -- Data processing; S-Plus", } @Book{Selvin:1998:MAB, author = "Steve Selvin", title = "Modern applied biostatistical methods using {S-Plus}", volume = "28", publisher = pub-OXFORD, address = pub-OXFORD:adr, pages = "xiv + 461", year = "1998", ISBN = "0-19-512025-6", ISBN-13 = "978-0-19-512025-7", LCCN = "QH323.5 .S448 1998", bibdate = "Tue Sep 22 08:25:09 MDT 1998", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", series = "Monographs in epidemiology and biostatistics", acknowledgement = ack-nhfb, keywords = "Biology -- Data processing; Biometry; Biometry -- methods; Programming Languages; S (Computer program language); S-Plus (Computer file); S-Plus.", } @Manual{StatSci:1998:SGS, title = "{SPlus-5} Guide to Statistics", organization = pub-STATSCI, address = pub-STATSCI:adr, pages = "xxii + 1014", year = "1998", bibdate = "Tue Jan 12 11:12:20 1999", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", note = "Order number R620291.", acknowledgement = ack-nhfb, } @Manual{StatSci:1998:SUG, title = "{SPlus-5} User's Guide", organization = pub-STATSCI, address = pub-STATSCI:adr, pages = "xvi + 336", year = "1998", bibdate = "Tue Jan 12 11:12:20 1999", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", note = "Order number R620293.", acknowledgement = ack-nhfb, } @Article{Wooff:1998:BRB, author = "David Wooff", title = "Book Review: {{\booktitle{Statistical Tools for Nonlinear Regression: A Practical Guide with S-PLUS Examples}}, by S. Huet; A. Bouvier; M.-A. Gruet; E. Jolivet}", journal = j-J-R-STAT-SOC-SER-D-STATISTICIAN, volume = "47", number = "3", pages = "545--545", month = "????", year = "1998", CODEN = "????", DOI = "https://doi.org/10.2307/2988640", ISSN = "0039-0526 (print), 1467-9884 (electronic)", ISSN-L = "0039-0526", bibdate = "Thu Jan 22 18:10:23 MST 2015", bibsource = "http://www.jstor.org/stable/i350002; https://www.math.utah.edu/pub/tex/bib/jrss-d-1990.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstor.org/stable/2988640", acknowledgement = ack-nhfb, fjournal = "Journal of the Royal Statistical Society. Series D (The Statistician)", journal-URL = "http://www.jstor.org/journals/00390526.html", } @Article{Ziegel:1998:BRBd, author = "Eric R. Ziegel", title = "Book Review: {{\booktitle{The Basics of S and S-PLUS}} by Andreas Krause; Melvin Olson}", journal = j-TECHNOMETRICS, volume = "40", number = "1", pages = "82--83", month = feb, year = "1998", CODEN = "TCMTA2", DOI = "https://doi.org/10.2307/1271413", ISSN = "0040-1706 (print), 1537-2723 (electronic)", ISSN-L = "0040-1706", bibdate = "Sat Jun 21 13:20:22 MDT 2014", bibsource = "http://www.jstor.org/journals/00401706.html; http://www.jstor.org/stable/i254372; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/technometrics1990.bib", URL = "http://www.jstor.org/stable/1271413", acknowledgement = ack-nhfb, fjournal = "Technometrics", journal-URL = "http://www.jstor.org/journals/00401706.html", } @Article{Anonymous:1999:NPE, author = "Anonymous", title = "New Products: {ENVI Version 3.1, Research Systems, Inc.; FTLinuxCourse, Future Technologies; Alexandria 4.50, Spectra Logic Corporation; Applixware for Linux, Applix, Inc.; c-tree Plus V6.8A, FairCom Corporation; AFS Server and AS Client, Transarc; Hamilton, Microstate Corporation; Cat5 Reach, Raritan Computer; TclPro 1.1, Scriptics Corporation; Wingz Professional 3.0 for Linux, IISC; WordPerfect 8 for Linux, Corel Computer; NUOPT for S-PLUS, MathSoft}", journal = j-LINUX-J, volume = "59", pages = "??--??", month = mar, year = "1999", CODEN = "LIJOFX", ISSN = "1075-3583 (print), 1938-3827 (electronic)", ISSN-L = "1075-3583", bibdate = "Thu Jun 3 06:33:57 MDT 1999", bibsource = "http://www.linuxjournal.com/issue59/index.html; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, fjournal = "Linux Journal", journal-URL = "http://portal.acm.org/citation.cfm?id=J508", } @Article{Chao:1999:IDA, author = "Edward C. Chao", title = "Interactive data analysis based on dialog systems in {S-PLUS}", journal = j-COMP-STAT, volume = "14", number = "1", pages = "23--38", month = mar, year = "1999", CODEN = "CSTAEB", DOI = "https://doi.org/10.1007/PL00022703", ISSN = "0943-4062 (print), 1613-9658 (electronic)", ISSN-L = "0943-4062", bibdate = "Thu Jun 18 16:19:23 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://link.springer.com/article/10.1007/PL00022703", acknowledgement = ack-nhfb, ajournal = "Comp. Stat.", fjournal = "Computational Statistics", journal-URL = "http://link.springer.com/journal/180", } @Article{Cribari-Neto:1999:RYA, author = "Francisco Cribari-Neto and Spyros G. Zarkos", title = "{R}: yet another econometric programming environment", journal = j-J-APPL-ECONOMETRICS, volume = "14", number = "3", pages = "319--329", month = may # "--" # jun, year = "1999", CODEN = "JAECET", DOI = "https://doi.org/10.1002/%28SICI%291099-1255%28199905/06%2914%3A3%3C319%3A%3AAID-JAE533%3E3.0.CO%3B2-Q", ISSN = "0883-7252 (print), 1099-1255 (electronic)", ISSN-L = "0883-7252", bibdate = "Sat Mar 9 10:19:57 MST 2019", bibsource = "https://www.math.utah.edu/pub/tex/bib/jappleconometrics.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, fjournal = "Journal of Applied Econometrics", journal-URL = "https://onlinelibrary.wiley.com/journal/10991255; https://www.jstor.org/journal/japplecon", onlinedate = "08 June 1999", } @Article{DDJStaff:1999:NVJ, author = "{The DDJ Staff}", title = "News and Views: Just Say No to Carpal Tunnel; {ACM} Award for {S} Creator; Cruising with {Perl}; You Can't Judge an Open {E}-Book \ldots{}; {H1-B} Visas in Short Supply; We Interrupt You with this Message\ldots{}; Great Timing; \path=www.waitandsee.org=", journal = j-DDJ, volume = "24", number = "8", pages = "18--18", month = aug, year = "1999", CODEN = "DDJOEB", ISSN = "1044-789X", bibdate = "Fri Jul 16 19:10:34 MDT 1999", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", note = "John Chambers was awarded the ACM Software System Award for creating the S System for statistical computing.", URL = "http://www.ddj.com/", acknowledgement = ack-nhfb, fjournal = "Dr. Dobb's Journal of Software Tools", } @PhdThesis{Deegan:1999:ISM, author = "Leo Joseph Deegan", title = "Improper survival models", type = "Thesis ({Ph.D. in Biostatistics})", school = "University of California, Berkeley", address = "Berkeley, CA, USA", pages = "vii + 114", year = "1999", LCCN = "RA3.6 .D28", bibdate = "Tue Feb 20 11:55:12 MST 2001", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", note = "Includes S-PLUS code: isurvreg, Improper Survival Regression.", keywords = "dissertations, academic --- UCB --- public health --- 1991--2000; University of California, Berkeley. Group in Biostatistics --- dissertations", } @Article{Kafadar:1999:BRB, author = "Karen Kafadar and James R. Koehler", title = "Book Review: {{\booktitle{Modern Applied Statistics with S-Plus}}}, 2nd edition", journal = j-AMER-STAT, volume = "53", number = "1", pages = "86--??", month = feb, year = "1999", CODEN = "ASTAAJ", ISSN = "0003-1305 (print), 1537-2731 (electronic)", ISSN-L = "0003-1305", bibdate = "Mon Jun 07 09:45:40 1999", bibsource = "http://www.amstat.org/publications/tas/toc_99.html; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", note = "Review of \cite{Venables:1997:MAS}.", acknowledgement = ack-nhfb, fjournal = "The American Statistician", journal-URL = "http://www.tandfonline.com/loi/utas20", } @Book{StatSci:1999:MSP, author = "{StatSci}", title = "{Math Soft S-PLUS 4.5}", publisher = pub-STATSCI, address = pub-STATSCI:adr, edition = "4.5 (student edition)", year = "1999", ISBN = "0-534-35873-X", ISBN-13 = "978-0-534-35873-0", bibdate = "Tue Feb 20 12:09:17 2001", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", note = "Includes CD-ROM.", acknowledgement = ack-nhfb, } @Book{Venables:1999:MAS, author = "W. N. (William N.) Venables and Brian D. Ripley", title = "Modern applied statistics with {S-PLUS}: Volume 1: Data Analysis", publisher = pub-SV, address = pub-SV:adr, edition = "Third", pages = "xi + 501", year = "1999", ISBN = "0-387-98825-4 (hardback)", ISBN-13 = "978-0-387-98825-2 (hardback)", LCCN = "QA276.4.V46 1999", bibdate = "Tue Feb 20 11:53:02 2001", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", note = "From the Web site: ``The book is also useful with R, a freely-available open-source statistical system `not unlike S'. We have tried where possible to use code that works in all versions of S-PLUS and in R.''.", series = "Statistics and computing", URL = "http://www.stats.ox.ac.uk/pub/MASS3/", acknowledgement = ack-nhfb, keywords = "Mathematical statistics --- Data processing; S-Plus; Statistics --- Data processing", } @Article{Wolfe:1999:DMP, author = "Michael A. Wolfe", title = "On Discrete Minimax Problems in {R} Using Interval Arithmetic", journal = j-RELIABLE-COMPUTING, volume = "5", number = "4", pages = "371--383", month = nov, year = "1999", CODEN = "RCOMF8", DOI = "https://doi.org/10.1023/A:1009930013647", ISSN = "1385-3139 (print), 1573-1340 (electronic)", ISSN-L = "1385-3139", bibdate = "Sat Jan 5 16:01:06 MST 2013", bibsource = "http://springerlink.metapress.com/openurl.asp?genre=issue&issn=1385-3139&volume=5&issue=4; https://www.math.utah.edu/pub/tex/bib/reliablecomputing.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://link.springer.com/article/10.1023/A%3A1009930013647/; http://www.springerlink.com/openurl.asp?genre=article&issn=1385-3139&volume=5&issue=4&spage=371; http://www.springerlink.com/openurl.asp?genre=article&issn=1385-3139&volume=5&issue=4&spage=371-383", acknowledgement = ack-nhfb # "\slash " # ack-rbk # "\slash " # ack-vk, fjournal = "Reliable Computing = Nadezhnye vychisleniia", journal-URL = "http://link.springer.com/journal/11155", } @Article{Ziegel:1999:BRBr, author = "Eric R. Ziegel", title = "Book Review: {{\booktitle{Environmental Stats for S-Plus}} by Steven P. Millard}", journal = j-TECHNOMETRICS, volume = "41", number = "2", pages = "179--179", month = may, year = "1999", CODEN = "TCMTA2", DOI = "https://doi.org/10.2307/1270752", ISSN = "0040-1706 (print), 1537-2723 (electronic)", ISSN-L = "0040-1706", bibdate = "Sat Jun 21 13:20:30 MDT 2014", bibsource = "http://www.jstor.org/journals/00401706.html; http://www.jstor.org/stable/i254377; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/technometrics1990.bib", URL = "http://www.jstor.org/stable/1270752", acknowledgement = ack-nhfb, fjournal = "Technometrics", journal-URL = "http://www.jstor.org/journals/00401706.html", } @Article{Bureau:2000:PIH, author = "Alexandre Bureau and James P. Hughes and Stephen C. Shiboski", title = "An {S-Plus} Implementation of Hidden {Markov} Models in Continuous Time", journal = j-J-COMPUT-GRAPH-STAT, volume = "9", number = "4", pages = "621--??", month = dec, year = "2000", CODEN = "", ISSN = "1061-8600 (print), 1537-2715 (electronic)", ISSN-L = "1061-8600", bibdate = "Wed Apr 18 10:23:03 MDT 2001", bibsource = "http://www.amstat.org/publications/jcgs/; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.amstat.org/publications/jcgs/abstracts00/Bureau.htm", acknowledgement = ack-nhfb, fjournal = "Journal of Computational and Graphical Statistics", journal-URL = "http://www.tandfonline.com/loi/ucgs20", } @Article{Gentleman:2000:LSS, author = "Robert Gentleman and Ross Ihaka", title = "Lexical Scope and Statistical Computing", journal = j-J-COMPUT-GRAPH-STAT, volume = "9", number = "3", pages = "491--508", month = sep, year = "2000", CODEN = "????", DOI = "https://doi.org/10.1080/10618600.2000.10474895", ISSN = "1061-8600 (print), 1537-2715 (electronic)", ISSN-L = "1061-8600", bibdate = "Thu Aug 13 10:27:50 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/jcomputgraphstat.bib; https://www.math.utah.edu/pub/tex/bib/prng.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.amstat.org/publications/jcgs/abstracts00/Ihaka.htm; http://www.tandfonline.com/doi/abs/10.1080/10618600.2000.10474895", abstract = "Programming environments such as S and Lisp-Stat have languages for performing computations, data storage mechanisms, and a graphical interface. These languages provide an interactive interface to data analysis that is invaluable. To take full advantage of these programming environments, statisticians must understand the differences between them. Ihaka and Gentleman introduced R, a version of S which uses a different scoping regimen. In some ways this makes R behave more like Lisp-Stat. This article discusses the concept of scoping rules and shows how lexical scope can enhance the functionality of a language.", acknowledgement = ack-nhfb, fjournal = "Journal of Computational and Graphical Statistics", journal-URL = "http://www.amstat.org/publications/jcgs/; http://www.tandfonline.com/loi/ucgs20", keywords = "function closure; random number generators", onlinedate = "21 Feb 2012", } @Article{Kautz:2000:LLI, author = "Frederick Kautz and Dimitrios Souflis and Robert Carbonari and DDJ and Al Gettier and Tina Femia and Andrew D. Todd and Anonymous and Alan Horn and Anonymous and Brad Clawsie and Samuel Pearlman", title = "Letters: The {S} Language; {IP} Security; {Pnuts} Pointer; Flyby; Worker Shortage?; Design by Interface", journal = j-DDJ, volume = "25", number = "4", pages = "10, 12", month = apr, year = "2000", CODEN = "DDJOEB", ISSN = "1044-789X", bibdate = "Thu Nov 9 08:25:14 MST 2000", bibsource = "http://www.ddj.com/; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", note = "See \cite{Stevens:2000:CPP}.", acknowledgement = ack-nhfb, fjournal = "Dr. Dobb's Journal of Software Tools", } @Book{Krause:2000:BP, author = "Andreas Krause and Melvin Olson", title = "The basics of {S} and {S-Plus}", publisher = pub-SV, address = pub-SV:adr, edition = "Second", pages = "xxii + 382", year = "2000", ISBN = "0-387-98961-7", ISBN-13 = "978-0-387-98961-7", LCCN = "QA276.4 .K73 2000", bibdate = "Tue Feb 20 11:55:12 MST 2001", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", series = "Statistics and computing", acknowledgement = ack-nhfb, keywords = "mathematical statistics --- data processing; S-PLUS", } @Book{Millard:2000:EPU, author = "Steven P. Millard", title = "{EnvironmentalStats} for {S-Plus}: User's Manual for {Windows} and {UNIX}, Versions 1.0 \& 1.1", publisher = "Probability, Statistics \& Information", address = "Seattle, WA, USA", pages = "x + 381", month = mar, year = "2000", LCCN = "????", bibdate = "Fri Sep 13 13:00:34 2002", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, xxISBN = "none", } @Book{Pinheiro:2000:MEM, author = "Jose C. Pinheiro and Douglas M. Bates", title = "Mixed-effects models in {S} and {S-PLUS}", publisher = pub-SV, address = pub-SV:adr, pages = "xvi + 528", year = "2000", ISBN = "0-387-98957-9", ISBN-13 = "978-0-387-98957-0", LCCN = "QA76.73.S15 P56 2000", bibdate = "Thu Apr 12 10:53:17 2001", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", price = "US\$69.95", series = "Statistics and computing", acknowledgement = ack-nhfb, } @MastersThesis{Rohrl:2000:PPS, author = "Armin R{\"o}hrl", title = "Parallel processing in statistical computation: {BSP}, {FPGas} and {MPI} for the {S}-language", type = "Th{\`e}se sciences", school = "EPF Lausanne", address = "Lausanne, Switzerland", pages = "137", year = "2000", bibdate = "Wed Aug 27 07:24:45 2003", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, } @Article{Rossini:2000:BRA, author = "A. J. Rossini", title = "Book Review: {{\booktitle{Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations}} by Adrian W. Bowman and Adelchi Azzalini}", journal = j-COMP-STAT, volume = "15", number = "2", pages = "301--302", month = jul, year = "2000", CODEN = "CSTAEB", DOI = "https://doi.org/10.1007/s001800000033", ISSN = "0943-4062 (print), 1613-9658 (electronic)", ISSN-L = "0943-4062", bibdate = "Thu Jun 18 16:19:25 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://link.springer.com/article/10.1007/s001800000033", acknowledgement = ack-nhfb, ajournal = "Comp. Stat.", fjournal = "Computational Statistics", journal-URL = "http://link.springer.com/journal/180", } @Article{Stevens:2000:CPP, author = "Al Stevens", title = "{C} Programming: The {S} Programming Language", journal = j-DDJ, volume = "25", number = "2", pages = "110--113", month = feb, year = "2000", CODEN = "DDJOEB", ISSN = "1044-789X", bibdate = "Thu Nov 9 08:25:13 MST 2000", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", note = "See comment on another {S} language \cite{Kautz:2000:LLI}.", URL = "http://www.ddj.com/ftp/2000/2000_02/cprog220.txt", abstract = "Al resurrects S, a homebrew C variant he implemented a decade ago -- back before the days of JavaScript and VB. His updated version is written in C++, and includes a shell program that tests the interpreter by loading and executing text source-code files written in the S language. Additional resources include cprog220.txt (listings).", acknowledgement = ack-nhfb, fjournal = "Dr. Dobb's Journal of Software Tools", xxnote = "This is NOT the statistics programming language that predated S-Plus; I wrote to the author and pointed out the name conflict.", } @Book{Venables:2000:MAS, author = "W. N. (William N.) Venables and Brian D. Ripley", title = "Modern applied statistics with {S-PLUS}: Volume 2: {S} Programming", publisher = pub-SV, address = pub-SV:adr, pages = "x + 264", year = "2000", ISBN = "0-387-98966-8", ISBN-13 = "978-0-387-98966-2", LCCN = "QA76.73.S15 V46 2000", bibdate = "Thu Apr 19 06:26:28 2001", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", series = "Statistics and computing", URL = "http://www.stats.ox.ac.uk/pub/MASS3/", acknowledgement = ack-nhfb, annote = "This is the first entry in the TUG bibliography archive for the year 2000.", keywords = "Mathematical statistics --- Data processing; S-Plus; Statistics --- Data processing", } @Book{Venables:2000:P, author = "W. N. (William N.) Venables and Brian D. Ripley", title = "{S} programming", publisher = pub-SV, address = pub-SV:adr, pages = "x + 264", year = "2000", ISBN = "0-387-98966-8", ISBN-13 = "978-0-387-98966-2", LCCN = "QA76.73.S15 V46 2000", bibdate = "Tue Jan 27 06:50:41 MST 2015", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Statistics and computing", URL = "http://www.loc.gov/catdir/enhancements/fy0816/99057466-d.html; http://www.loc.gov/catdir/enhancements/fy0816/99057466-t.html", acknowledgement = ack-nhfb, subject = "S (Computer program language)", tableofcontents = "Introduction \\ The S Language: Syntax and Semantics \\ The S Language: Advanced Aspects \\ Classes \\ New-style Classes \\ Using Compiled Code \\ General Strategies and Extended Examples \\ S Software Development \\ Interfaces Under Windows", } @Article{Ziegel:2000:BRBi, author = "Eric R. Ziegel", title = "Book Review: {{\booktitle{Modern Applied Biostatistical Methods Using S-Plus}} by Steve Selvin}", journal = j-TECHNOMETRICS, volume = "42", number = "2", pages = "221--221", month = may, year = "2000", CODEN = "TCMTA2", DOI = "https://doi.org/10.2307/1271484", ISSN = "0040-1706 (print), 1537-2723 (electronic)", ISSN-L = "0040-1706", bibdate = "Sat Jun 21 13:20:35 MDT 2014", bibsource = "http://www.jstor.org/journals/00401706.html; http://www.jstor.org/stable/i254381; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib", URL = "http://www.jstor.org/stable/1271484", acknowledgement = ack-nhfb, fjournal = "Technometrics", journal-URL = "http://www.jstor.org/journals/00401706.html", } @Book{Everitt:2001:AMD, author = "Brian Everitt and Sophia Rabe-Hesketh", title = "Analyzing medical data using {S-PLUS}", publisher = pub-SV, address = pub-SV:adr, pages = "????", year = "2001", ISBN = "0-387-98862-9", ISBN-13 = "978-0-387-98862-7", LCCN = "RA409.5 E94 2001", bibdate = "Tue Feb 20 12:12:53 2001", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", series = "Statistics for biology and health", acknowledgement = ack-nhfb, } @Book{Harrell:2001:RMS, author = "Frank E. {Harrell, Jr.}", title = "Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis", volume = "??", publisher = pub-SV, address = pub-SV:adr, pages = "xxiii + 571", year = "2001", CODEN = "????", DOI = "https://doi.org/10.1007/978-1-4757-3462-1", ISBN = "1-4419-2918-5, 1-4757-3462-X (e-book)", ISBN-13 = "978-1-4419-2918-1, 978-1-4757-3462-1 (e-book)", ISSN = "0172-7397", ISSN-L = "0172-7397", LCCN = "QA276-280", bibdate = "Thu Jun 19 06:41:19 MDT 2014", bibsource = "https://www.math.utah.edu/pub/tex/bib/probstat2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", series = "Springer Series in Statistics", URL = "http://link.springer.com/book/10.1007/978-1-4757-3462-1", abstract = "Many texts are excellent sources of knowledge about individual statistical tools, but the art of data analysis is about choosing and using multiple tools. Instead of presenting isolated techniques, this text emphasizes problem solving strategies that address the many issues arising when developing multivariable models using real data and not standard textbook examples. It includes imputation methods for dealing with missing data effectively, methods for dealing with nonlinear relationships and for making the estimation of transformations a formal part of the modeling process, methods for dealing with ``too many variables to analyze and not enough observations,'' and powerful model validation techniques based on the bootstrap. This text realistically deals with model uncertainty and its effects on inference to achieve ``safe data mining.''.", acknowledgement = ack-nhfb, remark = "Most volumes in this series are unnumbered.", series-URL = "http://link.springer.com/bookseries/692", subject = "Statistics; Mathematical statistics", tableofcontents = "General Aspects of Fitting Regression Models \\ Missing Data \\ Multivariable Modeling Strategies \\ Resampling, Validating, Describing, and Simplifying the Model \\ S-PLUS Software \\ Case Study in Least Squares Fitting and Interpretation of a Linear Model \\ Case Study in Imputation and Data Reduction \\ Overview of Maximum Likelihood Estimation \\ Binary Logistic Regression \\ Logistic Model Case Study 1: Predicting Cause of Death \\ Logistic Model Case Study 2: Survival of Titanic Passengers \\ Ordinal Logistic Regression \\ Case Study in Ordinal Regression, Data Reduction, and Penalization \\ Models Using Nonparametic Transformations of X and Y \\ Introduction to Survival Analysis \\ Parametric Survival Models \\ Case Study in Parametric Survival Modeling and Model Approximation \\ Cox Proportional Hazards Regression Model \\ Case Study in Cox Regression", } @Book{Krause:2001:ASP, editor = "Andreas Krause and Steven P. Millard", title = "Applied statistics in the pharmaceutical industry: with case studies using {S-Plus}", publisher = pub-SV, address = pub-SV:adr, pages = "xviii + 513", year = "2001", ISBN = "0-387-98814-9", ISBN-13 = "978-0-387-98814-6", LCCN = "S122 .A665 2001", bibdate = "Thu Apr 19 06:08:25 2001", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, keywords = "Drugs --- Research --- Statistical methods", } @Article{Lumley:2001:BRB, author = "Thomas Lumley", title = "Book Review: {{\booktitle{Environmental Statistics with S-PLUS}} by Steven P. Millard; Nagaraj K. Neerchal}", journal = j-TECHNOMETRICS, volume = "43", number = "4", pages = "495--495", month = nov, year = "2001", CODEN = "TCMTA2", DOI = "https://doi.org/10.2307/1270836", ISSN = "0040-1706 (print), 1537-2723 (electronic)", ISSN-L = "0040-1706", bibdate = "Sat Jun 21 13:20:44 MDT 2014", bibsource = "http://www.jstor.org/journals/00401706.html; http://www.jstor.org/stable/i254387; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib", URL = "http://www.jstor.org/stable/1270836", acknowledgement = ack-nhfb, fjournal = "Technometrics", journal-URL = "http://www.jstor.org/journals/00401706.html", } @Book{Millard:2001:ESP, author = "Steven P. Millard and Nagaraj K. Neerchal", title = "Environmental statistics with {S-Plus}", publisher = pub-CRC, address = pub-CRC:adr, pages = "830", year = "2001", ISBN = "0-8493-7168-6", ISBN-13 = "978-0-8493-7168-4", LCCN = "GE45.S73 M55 2001", bibdate = "Tue Feb 20 11:55:12 MST 2001", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", series = "Applied environmental statistics", acknowledgement = ack-nhfb, keywords = "environmental sciences -- statistical methods -- data processing; S-PLUS", tableofcontents = "1 Introduction / 1 \\ 2 Designing a Sampling Program, Part I / 13 \\ 3 Looking at Data / 53 \\ 4 Probability Distributions / 139 \\ 5 Estimating Distribution Parameters and Quantiles / 201 \\ 6 Prediction Intervals, Tolerance Intervals, and Control Charts / 295 \\ 7 Hypothesis Tests / 365 \\ 8 Designing a Sampling Program, Part II / 471 \\ 9 Linear Models / 527 \\ 10 Censored Data / 593 \\ 11 Time Series Analysis / 647 \\ 12 Spatial Statistics / 693 \\ 13 Monte Carlo Simulation and Risk Assessment / 735 \\ References / 779 \\ Index / 817", } @Article{Plummer:2001:BRP, author = "Martyn Plummer", title = "Book Review: {{\booktitle{Programming with Data: a Guide to the S Language}}. John M. Chambers, Springer, Godalming, U.K., 1998. No. of pages:xv + 469. Price: \pounds 32.50. ISBN 0-387-98503-4.}", journal = j-STAT-MED, volume = "20", number = "6", pages = "985--986", day = "30", month = mar, year = "2001", CODEN = "SMEDDA", DOI = "https://doi.org/10.1002/sim.765", ISSN = "0277-6715 (print), 1097-0258 (electronic)", ISSN-L = "0277-6715", bibdate = "Sat Jun 27 15:46:03 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/statmed2000.bib", acknowledgement = ack-nhfb, ajournal = "Stat. Med.", fjournal = "Statistics in Medicine", journal-URL = "https://onlinelibrary.wiley.com/journal/10970258", onlinedate = "05 March 2001", } @Book{Schumacker:2001:USC, author = "Randall E. Schumacker and Allen Akers", title = "Understanding statistical concepts using {S-plus}", publisher = "Lawrence Erlbaum Associates", address = "Mahwah, NJ, USA", pages = "xiii + 357", year = "2001", ISBN = "0-8058-3623-3", ISBN-13 = "978-0-8058-3623-3", LCCN = "QA276.4 .S366 2001", bibdate = "Fri Sep 13 15:26:38 2002", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, keywords = "Mathematical statistics --- Data processing; S-Plus", } @Article{Wood:2001:BRB, author = "Simon Wood", title = "Book Review: {{\booktitle{Mixed-Effects Models in S and S-Plus}}, by J. C. Pinheiro; D. M. Bates}", journal = j-J-R-STAT-SOC-SER-D-STATISTICIAN, volume = "50", number = "3", pages = "351--352", month = "????", year = "2001", CODEN = "????", DOI = "https://doi.org/10.2307/2680951", ISSN = "0039-0526 (print), 1467-9884 (electronic)", ISSN-L = "0039-0526", bibdate = "Thu Jan 22 18:10:23 MST 2015", bibsource = "http://www.jstor.org/stable/i326263; https://www.math.utah.edu/pub/tex/bib/jrss-d-2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstor.org/stable/2680951", acknowledgement = ack-nhfb, fjournal = "Journal of the Royal Statistical Society. Series D (The Statistician)", journal-URL = "http://www.jstor.org/journals/00390526.html", } @Article{Ziegel:2001:BRBac, author = "Eric R. Ziegel", title = "Book Review: {{\booktitle{The Basics of S and S-PLUS}} by Andreas Krause; Melvin Olson}", journal = j-TECHNOMETRICS, volume = "43", number = "2", pages = "249--249", month = may, year = "2001", CODEN = "TCMTA2", DOI = "https://doi.org/10.2307/1271073", ISSN = "0040-1706 (print), 1537-2723 (electronic)", ISSN-L = "0040-1706", bibdate = "Sat Jun 21 13:20:41 MDT 2014", bibsource = "http://www.jstor.org/journals/00401706.html; http://www.jstor.org/stable/i254385; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib", URL = "http://www.jstor.org/stable/1271073", acknowledgement = ack-nhfb, fjournal = "Technometrics", journal-URL = "http://www.jstor.org/journals/00401706.html", } @Article{Ziegel:2001:BRBad, author = "Eric R. Ziegel", title = "Book Review: {{\booktitle{Modern Applied Statistics with S-PLUS}} by W. N. Venables; B. D. Ripley}", journal = j-TECHNOMETRICS, volume = "43", number = "2", pages = "249--249", month = may, year = "2001", CODEN = "TCMTA2", DOI = "https://doi.org/10.2307/1271074", ISSN = "0040-1706 (print), 1537-2723 (electronic)", ISSN-L = "0040-1706", bibdate = "Sat Jun 21 13:20:41 MDT 2014", bibsource = "http://www.jstor.org/journals/00401706.html; http://www.jstor.org/stable/i254385; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib", URL = "http://www.jstor.org/stable/1271074", acknowledgement = ack-nhfb, fjournal = "Technometrics", journal-URL = "http://www.jstor.org/journals/00401706.html", } @Article{Ziegel:2001:BRBe, author = "Eric R. Ziegel", title = "Book Review: {{\booktitle{Mixed-Effects Models in S and S-PLUS}} by Jos{\'e} C. Pinheiro; Douglas M. Bates}", journal = j-TECHNOMETRICS, volume = "43", number = "1", pages = "113--113", month = feb, year = "2001", CODEN = "TCMTA2", DOI = "https://doi.org/10.2307/1270889", ISSN = "0040-1706 (print), 1537-2723 (electronic)", ISSN-L = "0040-1706", bibdate = "Sat Jun 21 13:20:40 MDT 2014", bibsource = "http://www.jstor.org/journals/00401706.html; http://www.jstor.org/stable/i254384; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib", URL = "http://www.jstor.org/stable/1270889", acknowledgement = ack-nhfb, fjournal = "Technometrics", journal-URL = "http://www.jstor.org/journals/00401706.html", } @Article{Barber:2002:BRBb, author = "Stuart Barber", title = "Book Review: {{\booktitle{The Basics of S and S-PLUS}}, by A. Krause; M. Olson}", journal = j-J-R-STAT-SOC-SER-D-STATISTICIAN, volume = "51", number = "2", pages = "296--297", month = "????", year = "2002", CODEN = "????", DOI = "https://doi.org/10.2307/3650339", ISSN = "0039-0526 (print), 1467-9884 (electronic)", ISSN-L = "0039-0526", bibdate = "Thu Jan 22 18:10:24 MST 2015", bibsource = "http://www.jstor.org/stable/i370070; https://www.math.utah.edu/pub/tex/bib/jrss-d-2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstor.org/stable/3650339", acknowledgement = ack-nhfb, fjournal = "Journal of the Royal Statistical Society. Series D (The Statistician)", journal-URL = "http://www.jstor.org/journals/00390526.html", } @Book{Crawley:2002:SCI, author = "Michael J. Crawley", title = "Statistical computing: an introduction to data analysis using {S-Plus}", publisher = pub-WILEY, address = pub-WILEY:adr, pages = "ix + 761", year = "2002", ISBN = "0-471-56040-5", ISBN-13 = "978-0-471-56040-1", LCCN = "QA276.4 .C73 2002", bibdate = "Fri Sep 13 13:03:56 MDT 2002", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, keywords = "statistics -- data processing", } @Book{Dalgaard:2002:ISR, author = "Peter Dalgaard", title = "Introductory Statistics with {R}", publisher = pub-SV, address = pub-SV:adr, pages = "xv + 267", year = "2002", ISBN = "0-387-95475-9", ISBN-13 = "978-0-387-95475-2", LCCN = "QA276.4 .D33 2002", bibdate = "Mon Dec 08 11:29:26 2003", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, remark = "Second edition \cite{Dalgaard:2008:ISR}.", } @Book{Everitt:2002:HSA, author = "Brian S. Everitt", title = "A Handbook of Statistical Analyses using {S-PLUS}", publisher = pub-CHAPMAN-HALL-CRC, address = pub-CHAPMAN-HALL-CRC:adr, edition = "Second", pages = "xiii + 240", year = "2002", ISBN = "1-58488-280-8", ISBN-13 = "978-1-58488-280-0", LCCN = "QA276.4.E93 1994", bibdate = "Thu Jan 08 08:13:27 2004", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, } @Article{Fernandez:2002:BRB, author = "Carmen Fern{\'a}ndez", title = "Book Review: {{\booktitle{Modern Applied Statistics with S-PLUS}}, by W. N. Venables; B. D. Ripley}", journal = j-J-R-STAT-SOC-SER-D-STATISTICIAN, volume = "51", number = "2", pages = "302--303", month = "????", year = "2002", CODEN = "????", DOI = "https://doi.org/10.2307/3650346", ISSN = "0039-0526 (print), 1467-9884 (electronic)", ISSN-L = "0039-0526", bibdate = "Thu Jan 22 18:10:24 MST 2015", bibsource = "http://www.jstor.org/stable/i370070; https://www.math.utah.edu/pub/tex/bib/jrss-d-2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstor.org/stable/3650346", acknowledgement = ack-nhfb, fjournal = "Journal of the Royal Statistical Society. Series D (The Statistician)", journal-URL = "http://www.jstor.org/journals/00390526.html", } @Book{Fox:2002:RPC, author = "John Fox", title = "An {R} and {S-Plus} companion to applied regression", publisher = "Sage Publications", address = "Thousand Oaks, CA, USA", pages = "xvi + 312", year = "2002", ISBN = "0-7619-2279-2, 0-7619-2280-6 (paperback)", ISBN-13 = "978-0-7619-2279-7, 978-0-7619-2280-3 (paperback)", LCCN = "QA278.2 .F628 2002", bibdate = "Fri Sep 13 13:03:56 MDT 2002", bibsource = "https://www.math.utah.edu/pub/tex/bib/amstat2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, keywords = "R (computer programming language); regression analysis -- data processing; S-Plus", } @Article{Lawson:2002:BRB, author = "Andrew Lawson", title = "Book Review: {{\booktitle{Environmental Statistics with S-Plus}}, by S. P. Millard; N. K. Neerchal}", journal = j-J-R-STAT-SOC-SER-D-STATISTICIAN, volume = "51", number = "3", pages = "425--426", month = "????", year = "2002", CODEN = "????", DOI = "https://doi.org/10.2307/3650306", ISSN = "0039-0526 (print), 1467-9884 (electronic)", ISSN-L = "0039-0526", bibdate = "Thu Jan 22 18:10:23 MST 2015", bibsource = "http://www.jstor.org/stable/i370071; https://www.math.utah.edu/pub/tex/bib/jrss-d-2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstor.org/stable/3650306", acknowledgement = ack-nhfb, fjournal = "Journal of the Royal Statistical Society. Series D (The Statistician)", journal-URL = "http://www.jstor.org/journals/00390526.html", } @Article{Leisch:2002:SPM, author = "Friedrich Leisch", title = "{Sweave}, {Part I}: Mixing {R} and {\LaTeX}", journal = "R News", volume = "2", number = "3", pages = "28--31", month = dec, year = "2002", bibdate = "Sat Jul 05 19:24:59 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/litprog.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.statistik.lmu.de/~leisch/Sweave/Sweave-Rnews-2002-3.pdf", acknowledgement = ack-nhfb, } @Article{Lund:2002:BRBa, author = "Ulric J. Lund", title = "Book Review: {{\booktitle{Understanding Statistical Concepts Using S-Plus}}}", journal = j-AMER-STAT, volume = "56", number = "3", pages = "249--??", month = aug, year = "2002", CODEN = "ASTAAJ", ISSN = "0003-1305 (print), 1537-2731 (electronic)", ISSN-L = "0003-1305", bibdate = "Thu Jan 8 07:06:51 MST 2004", bibsource = "http://www.amstat.org/publications/tas/; https://www.math.utah.edu/pub/tex/bib/amstat2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", note = "Review of \cite{Schumacker:2001:USC}.", URL = "http://oberon.ingentaselect.com/cgi-bin/linker?ini=asa&reqidx=/cw/asa/00031305/v56n3/s18/p249", acknowledgement = ack-nhfb, fjournal = "The American Statistician", journal-URL = "http://www.tandfonline.com/loi/utas20", } @Book{Millard:2002:EPU, author = "Steven P. Millard", title = "{EnvironmentalStats} for {S-PLUS}: user's manual for version 2.0", publisher = pub-SV, address = pub-SV:adr, edition = "Second", pages = "xiii + 264", year = "2002", ISBN = "0-387-95398-1", ISBN-13 = "978-0-387-95398-4", LCCN = "GE45.S73 M52 2002", bibdate = "Fri Sep 13 13:03:56 MDT 2002", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, keywords = "environmental sciences -- statistical methods -- data processing; S-Plus", } @Article{Petersen:2002:BRE, author = "J{\o}rgen Holm Petersen", title = "Book Review: {{\booktitle{Environmental Statistics with S-Plus}}. Steven P. Millard and Nagaraj K. Neerchal. CRC Press LLC, London, 2001. No. of pages: 830. Price: \$79.95. ISBN 0-8493-7168-6}", journal = j-STAT-MED, volume = "21", number = "17", pages = "2607--2608", day = "15", month = sep, year = "2002", CODEN = "SMEDDA", DOI = "https://doi.org/10.1002/sim.1232", ISSN = "0277-6715 (print), 1097-0258 (electronic)", ISSN-L = "0277-6715", bibdate = "Sat Jun 27 15:46:16 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/statmed2000.bib", note = "See letter \cite{Millard:2003:LEB}.", acknowledgement = ack-nhfb, ajournal = "Stat. Med.", fjournal = "Statistics in Medicine", journal-URL = "https://onlinelibrary.wiley.com/journal/10970258", onlinedate = "09 August 2002", remark = "The reviewed book inside cover lists the ISBN as 0-0893-7168-6, but that has an invalid checksum. The back cover list the correct ISBN as 0-8493-7168-6 above the barcode. I corrected the review title value accordingly.", xxtitle = "Book Review: {{\booktitle{Environmental Statistics with S-Plus}}. Steven P. Millard and Nagaraj K. Neerchal. CRC Press LLC, London, 2001. No. of pages: 830. Price: \$79.95. ISBN 0-08-937168-6}", } @Article{Racine:2002:URT, author = "Jeff Racine and Rob Hyndman", title = "Using {R} to teach econometrics", journal = j-J-APPL-ECONOMETRICS, volume = "17", number = "2", pages = "175--189", month = mar # "--" # apr, year = "2002", CODEN = "JAECET", DOI = "https://doi.org/10.1002/jae.657", ISSN = "0883-7252 (print), 1099-1255 (electronic)", ISSN-L = "0883-7252", bibdate = "Sat Mar 9 10:20:04 MST 2019", bibsource = "https://www.math.utah.edu/pub/tex/bib/jappleconometrics.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, fjournal = "Journal of Applied Econometrics", journal-URL = "https://onlinelibrary.wiley.com/journal/10991255; https://www.jstor.org/journal/japplecon", onlinedate = "18 April 2002", } @Book{Venables:2002:IRN, author = "W. N. (William N.) Venables and D. M. (David M.) Smith", title = "An introduction to {R}: notes on {R}: a programming environment for data analysis and graphics, version 1.4.1", publisher = pub-NETWORK-THEORY, address = pub-NETWORK-THEORY:adr, pages = "vi + 139", year = "2002", ISBN = "0-9541617-4-2", ISBN-13 = "978-0-9541617-4-3", LCCN = "QA276.4 .V45 2001", bibdate = "Mon Jul 4 15:50:14 MDT 2005", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", acknowledgement = ack-nhfb, subject = "Statistics; Data processing; R (Computer program language)", } @Book{Venables:2002:MAS, author = "W. N. (William N.) Venables and Brian D. Ripley", title = "Modern Applied Statistics with {S}", publisher = pub-SV, address = pub-SV:adr, edition = "Fourth", pages = "xi + 495", year = "2002", ISBN = "0-387-95457-0", ISBN-13 = "978-0-387-95457-8", LCCN = "QA276.4 .V46 2002", bibdate = "Mon Jul 04 16:15:09 2005", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, remark = "Previously published as \cite{Venables:1999:MAS}.", } @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", year = "2002", CODEN = "JSSOBK", ISSN = "????", bibdate = "Sun Nov 17 22:35:43 2002", bibsource = "https://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{Yi:2002:IHO, author = "Grace Y. Yi and Jianrong Wu and Ying Liu", title = "Implementation of higher-order asymptotics to {S-plus}", journal = j-COMPUT-STAT-DATA-ANAL, volume = "40", number = "4", pages = "775--800", day = "28", month = oct, year = "2002", CODEN = "CSDADW", ISSN = "0167-9473 (print), 1872-7352 (electronic)", ISSN-L = "0167-9473", bibdate = "Fri Feb 6 11:41:09 MST 2015", bibsource = "https://www.math.utah.edu/pub/tex/bib/computstatdataanal2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.sciencedirect.com/science/article/pii/S0167947302000968", acknowledgement = ack-nhfb, fjournal = "Computational Statistics \& Data Analysis", journal-URL = "http://www.sciencedirect.com/science/journal/01679473", } @Article{Zeileis:2002:SRP, author = "Achim Zeileis and Friedrich Leisch and Kurt Hornik and Christian Kleiber", title = "{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", year = "2002", CODEN = "JSSOBK", ISSN = "????", bibdate = "Sun Nov 17 22:35:43 2002", bibsource = "https://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{Ziegel:2002:BRBag, author = "Eric R. Ziegel", title = "Book Review: {{\booktitle{A Handbook of Statistical Analyses Using S-PLUS}} by Brian S. Everitt}", journal = j-TECHNOMETRICS, volume = "44", number = "3", pages = "300--300", month = aug, year = "2002", CODEN = "TCMTA2", DOI = "https://doi.org/10.2307/1270517", ISSN = "0040-1706 (print), 1537-2723 (electronic)", ISSN-L = "0040-1706", bibdate = "Sat Jun 21 13:20:50 MDT 2014", bibsource = "http://www.jstor.org/journals/00401706.html; http://www.jstor.org/stable/i254390; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib", URL = "http://www.jstor.org/stable/1270517", acknowledgement = ack-nhfb, fjournal = "Technometrics", journal-URL = "http://www.jstor.org/journals/00401706.html", } @Article{Ziegel:2002:BRBx, author = "Eric R. Ziegel", title = "Book Review: {{\booktitle{Analyzing Medical Data Using S-PLUS}} by B. S. Everitt; Sophia Rabe-Hesketh}", journal = j-TECHNOMETRICS, volume = "44", number = "2", pages = "201--202", month = may, year = "2002", CODEN = "TCMTA2", DOI = "https://doi.org/10.2307/1271291", ISSN = "0040-1706 (print), 1537-2723 (electronic)", ISSN-L = "0040-1706", bibdate = "Sat Jun 21 13:20:48 MDT 2014", bibsource = "http://www.jstor.org/journals/00401706.html; http://www.jstor.org/stable/i254389; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib", URL = "http://www.jstor.org/stable/1271291", acknowledgement = ack-nhfb, fjournal = "Technometrics", journal-URL = "http://www.jstor.org/journals/00401706.html", } @Article{Anonymous:2003:BRBam, author = "Anonymous", title = "Book Review: {{\booktitle{Modeling Financial Time Series with S-PLUS{\reg}}} by Eric Zivot; Jiahui Wang}", journal = j-TECHNOMETRICS, volume = "45", number = "4", pages = "373--374", month = nov, year = "2003", CODEN = "TCMTA2", DOI = "https://doi.org/10.2307/25047114", ISSN = "0040-1706 (print), 1537-2723 (electronic)", ISSN-L = "0040-1706", bibdate = "Sat Jun 21 13:20:57 MDT 2014", bibsource = "http://www.jstor.org/journals/00401706.html; http://www.jstor.org/stable/i25047080; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib", URL = "http://www.jstor.org/stable/25047114", acknowledgement = ack-nhfb, fjournal = "Technometrics", journal-URL = "http://www.jstor.org/journals/00401706.html", } @Article{Anonymous:2003:BRBu, author = "Anonymous", title = "Book Review: {{\booktitle{The Basics of S-PLUS}} by Andreas Krause; Melvin Olson}", journal = j-TECHNOMETRICS, volume = "45", number = "2", pages = "183--183", month = may, year = "2003", CODEN = "TCMTA2", DOI = "https://doi.org/10.2307/25047039", ISSN = "0040-1706 (print), 1537-2723 (electronic)", ISSN-L = "0040-1706", bibdate = "Sat Jun 21 13:20:54 MDT 2014", bibsource = "http://www.jstor.org/journals/00401706.html; http://www.jstor.org/stable/i25047007; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib", URL = "http://www.jstor.org/stable/25047039", acknowledgement = ack-nhfb, fjournal = "Technometrics", journal-URL = "http://www.jstor.org/journals/00401706.html", } @Article{Anonymous:2003:BRSa, author = "Anonymous", title = "Book Review: {{\booktitle{Statistical computing: an introduction to data analysis using S-Plus}}: by Michael J. Crawley. John Wiley \& Sons, New York. (2002). 761 pages. \$85}", journal = j-COMPUT-MATH-APPL, volume = "45", number = "10--11", pages = "1775--1775", month = may # "\slash " # jun, year = "2003", CODEN = "CMAPDK", ISSN = "0898-1221 (print), 1873-7668 (electronic)", ISSN-L = "0898-1221", bibdate = "Wed Mar 1 21:49:27 MST 2017", bibsource = "https://www.math.utah.edu/pub/tex/bib/computmathappl2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.sciencedirect.com/science/article/pii/S0898122103801311", acknowledgement = ack-nhfb, fjournal = "Computers and Mathematics with Applications", journal-URL = "http://www.sciencedirect.com/science/journal/08981221", } @Article{Brayshaw:2003:BRB, author = "Nigel Brayshaw", title = "Book Review: {{\booktitle{Applied Statistics in the Pharmaceutical Industry, with Case Studies in S-Plus}}, by S. P. Millard; A. Krause}", journal = j-J-R-STAT-SOC-SER-D-STATISTICIAN, volume = "52", number = "2", pages = "243--244", month = "????", year = "2003", CODEN = "????", DOI = "https://doi.org/10.2307/4128260", ISSN = "0039-0526 (print), 1467-9884 (electronic)", ISSN-L = "0039-0526", bibdate = "Thu Jan 22 18:10:22 MST 2015", bibsource = "http://www.jstor.org/stable/i384328; https://www.math.utah.edu/pub/tex/bib/jrss-d-2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstor.org/stable/4128260", acknowledgement = ack-nhfb, fjournal = "Journal of the Royal Statistical Society. Series D (The Statistician)", journal-URL = "http://www.jstor.org/journals/00390526.html", } @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 = "????", bibdate = "Tue Dec 16 17:06:19 2003", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.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{Cowles:2003:BRB, author = "Mary Kathryn Cowles", title = "Book Review: {{\booktitle{An R and S-PLUS Companion to Applied Regression}}}", journal = j-AMER-STAT, volume = "57", number = "4", pages = "316--??", month = nov, year = "2003", CODEN = "ASTAAJ", ISSN = "0003-1305 (print), 1537-2731 (electronic)", ISSN-L = "0003-1305", bibdate = "Thu Jan 8 07:07:00 MST 2004", bibsource = "http://www.amstat.org/publications/tas/; https://www.math.utah.edu/pub/tex/bib/amstat2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", note = "Review of \cite{Fox:2002:RPC}.", URL = "http://oberon.ingentaselect.com/cgi-bin/linker?ini=asa&reqidx=/cw/asa/00031305/v57n4/s16/p316", acknowledgement = ack-nhfb, fjournal = "The American Statistician", journal-URL = "http://www.tandfonline.com/loi/utas20", } @Article{Dawson:2003:BRB, author = "Jeffrey D. Dawson", title = "Book Review: {{\booktitle{Analyzing Medical Data Using S-PLUS}}, by Brian Everitt; Sophia Rabe-Hesketh}", journal = j-J-AM-STAT-ASSOC, volume = "98", number = "463", pages = "773--774", month = sep, year = "2003", CODEN = "JSTNAL", ISSN = "0162-1459 (print), 1537-274X (electronic)", ISSN-L = "0162-1459", bibdate = "Wed Jan 25 08:06:27 MST 2012", bibsource = "http://www.jstor.org/journals/01621459.html; http://www.jstor.org/stable/i30045274; https://www.math.utah.edu/pub/tex/bib/jamstatassoc2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstor.org/stable/30045317", acknowledgement = ack-nhfb, fjournal = "Journal of the American Statistical Association", journal-URL = "http://www.tandfonline.com/loi/uasa20", } @Article{Eastwood:2003:BRB, author = "Brian J. Eastwood", title = "Book Review: {{\booktitle{Applied Statistics in the Pharmaceutical Industry with Case Studies Using S-PLUS}}, by Steven P. Millard; Andreas Krause}", journal = j-J-AM-STAT-ASSOC, volume = "98", number = "461", pages = "250--250", month = mar, year = "2003", CODEN = "JSTNAL", ISSN = "0162-1459 (print), 1537-274X (electronic)", ISSN-L = "0162-1459", bibdate = "Tue Dec 16 18:18:46 MST 2003", bibsource = "http://www.amstat.org/publications/jasa/; http://www.jstor.org/journals/01621459.html; http://www.jstor.org/stable/i30045186; https://www.math.utah.edu/pub/tex/bib/jamstatassoc2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstor.org/stable/30045215", acknowledgement = ack-nhfb, fjournal = "Journal of the American Statistical Association", journal-URL = "http://www.tandfonline.com/loi/uasa20", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Tue Dec 16 17:06:19 2003", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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{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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Tue Dec 16 17:06:19 2003", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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{Harbo:2003:BRA, author = "Ingrid Sofie Harbo", title = "Book Review: {{\booktitle{Applied statistics in the pharmaceutical industry: With case studies using S-Plus}}. Steven P. Millard and Andreas Krause (eds), Springer Verlag, Heidelberg, Germany, 2001. No. of pages: xviii + 513. Price: \pounds 62.50. ISBN 0-387-98814-9}", journal = j-STAT-MED, volume = "22", number = "17", pages = "2819--2820", day = "15", month = sep, year = "2003", CODEN = "SMEDDA", DOI = "https://doi.org/10.1002/sim.1495", ISSN = "0277-6715 (print), 1097-0258 (electronic)", ISSN-L = "0277-6715", bibdate = "Sat Jun 27 15:46:25 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/statmed2000.bib", acknowledgement = ack-nhfb, ajournal = "Stat. Med.", fjournal = "Statistics in Medicine", journal-URL = "https://onlinelibrary.wiley.com/journal/10970258", onlinedate = "19 August 2003", } @Article{Koenker:2003:SSM, author = "Roger Koenker and Pin Ng", title = "{{\tt SparseM}}: a Sparse Matrix Package for {R}", journal = j-J-STAT-SOFT, volume = "8", number = "6", pages = "1--9", month = "????", year = "2003", CODEN = "JSSOBK", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Tue Dec 16 17:06:19 2003", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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/", } @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", year = "2003", CODEN = "JSSOBK", ISSN = "????", bibdate = "Tue Dec 16 17:06:19 2003", bibsource = "https://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{Kushler:2003:BRB, author = "Robert Kushler", title = "Book Review: {{\booktitle{Statistical Computing: An Introduction to Data Analysis Using S-PLUS}} by Michael J. Crawley}", journal = j-TECHNOMETRICS, volume = "45", number = "4", pages = "369--369", month = nov, year = "2003", CODEN = "TCMTA2", DOI = "https://doi.org/10.2307/25047104", ISSN = "0040-1706 (print), 1537-2723 (electronic)", ISSN-L = "0040-1706", bibdate = "Sat Jun 21 13:20:57 MDT 2014", bibsource = "http://www.jstor.org/journals/00401706.html; http://www.jstor.org/stable/i25047080; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib", URL = "http://www.jstor.org/stable/25047104", acknowledgement = ack-nhfb, fjournal = "Technometrics", journal-URL = "http://www.jstor.org/journals/00401706.html", } @Article{Leisch:2003:SPI, author = "Friedrich Leisch", title = "{Sweave}, {Part II}: Package Vignettes", journal = "R News", volume = "3", number = "2", pages = "21--24", month = oct, year = "2003", bibdate = "Sat Jul 05 19:24:59 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/litprog.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.statistik.lmu.de/~leisch/Sweave/Sweave-Rnews-2003-2.pdf", acknowledgement = ack-nhfb, } @Article{Ligges:2003:SRP, author = "Uwe Ligges and Martin M{\"a}chler", title = "{{\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Tue Dec 16 17:06:19 2003", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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/", } @Book{Maindonald:2003:DAG, author = "J. H. (John Hilary) Maindonald and John Braun", title = "Data analysis and graphics using {R}: an example-based approach", publisher = pub-CAMBRIDGE, address = pub-CAMBRIDGE:adr, pages = "xxiii + 362", year = "2003", ISBN = "0-521-81336-0", ISBN-13 = "978-0-521-81336-5", LCCN = "QA276.4 .M245 2003", bibdate = "Mon Jul 4 16:19:30 MDT 2005", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Cambridge series in statistical and probabilistic mathematics", URL = "ftp://uiarchive.cso.uiuc.edu/pub/etext/gutenberg/; http://www.loc.gov/catdir/description/cam031/2002031560.html; http://www.loc.gov/catdir/toc/cam031/2002031560.html", acknowledgement = ack-nhfb, subject = "Statistics; Data processing; Statistics; Graphic methods; Data processing; R (Computer program language)", } @Article{Manola:2003:BRB, author = "Judith Manola", title = "Book Review: {{\booktitle{A Handbook of Statistical Analyses using S-Plus} (2nd ed.)}}", journal = j-AMER-STAT, volume = "57", number = "2", pages = "146--??", month = may, year = "2003", CODEN = "ASTAAJ", ISSN = "0003-1305 (print), 1537-2731 (electronic)", ISSN-L = "0003-1305", bibdate = "Thu Jan 8 07:06:56 MST 2004", bibsource = "http://www.amstat.org/publications/tas/; https://www.math.utah.edu/pub/tex/bib/amstat2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", note = "Review of \cite{Everitt:2002:HSA}.", URL = "http://oberon.ingentaselect.com/cgi-bin/linker?ini=asa&reqidx=/cw/asa/00031305/v57n2/s19/p146", acknowledgement = ack-nhfb, fjournal = "The American Statistician", journal-URL = "http://www.tandfonline.com/loi/utas20", } @Article{Millard:2003:LEB, author = "Steven P. Millard and Nagaraj K. Neerchal", title = "Letter to the {Editor}: {Book Review of {{\booktitle{Environmental Statistics with S-Plus}}. J. H. Petersen, \booktitle{Statistics in Medicine} 2002; {\bf 21}:2607--2608}}", journal = j-STAT-MED, volume = "22", number = "16", pages = "2668--2670", day = "30", month = aug, year = "2003", CODEN = "SMEDDA", DOI = "https://doi.org/10.1002/sim.1552", ISSN = "0277-6715 (print), 1097-0258 (electronic)", ISSN-L = "0277-6715", bibdate = "Sat Jun 27 15:46:25 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/statmed2000.bib", note = "See \cite{Petersen:2002:BRE}.", acknowledgement = ack-nhfb, ajournal = "Stat. Med.", fjournal = "Statistics in Medicine", journal-URL = "https://onlinelibrary.wiley.com/journal/10970258", onlinedate = "23 July 2003", } @Article{Moreno:2003:BRB, author = "Victor Moreno", title = "Book Review: {{\booktitle{Understanding Statistical Concepts Using S-Plus}}, by R. E. Schumacker; A. Akers}", journal = j-J-R-STAT-SOC-SER-D-STATISTICIAN, volume = "52", number = "3", pages = "417--417", month = "????", year = "2003", CODEN = "????", DOI = "https://doi.org/10.2307/4128232", ISSN = "0039-0526 (print), 1467-9884 (electronic)", ISSN-L = "0039-0526", bibdate = "Thu Jan 22 18:10:23 MST 2015", bibsource = "http://www.jstor.org/stable/i384333; https://www.math.utah.edu/pub/tex/bib/jrss-d-2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstor.org/stable/4128232", acknowledgement = ack-nhfb, fjournal = "Journal of the Royal Statistical Society. Series D (The Statistician)", journal-URL = "http://www.jstor.org/journals/00390526.html", } @Article{Murdoch:2003:ORP, author = "Duncan Murdoch", title = "{{\tt Orientlib}}: An {R} Package for Orientation Data", journal = j-J-STAT-SOFT, volume = "8", number = "19", pages = "1--11", month = "????", year = "2003", CODEN = "JSSOBK", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Tue Dec 16 17:06:19 2003", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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 = "{\tt 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 {\tt 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{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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Tue Dec 16 17:06:19 2003", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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{Sandry:2003:BRBb, author = "Thomas D. Sandry", title = "Book Review: {{\booktitle{Introductory Statistics with R}} by Peter Dalgaard}", journal = j-TECHNOMETRICS, volume = "45", number = "3", pages = "274--275", month = aug, year = "2003", CODEN = "TCMTA2", DOI = "https://doi.org/10.2307/25047066", ISSN = "0040-1706 (print), 1537-2723 (electronic)", ISSN-L = "0040-1706", bibdate = "Sat Jun 21 13:20:56 MDT 2014", bibsource = "http://www.jstor.org/journals/00401706.html; http://www.jstor.org/stable/i25047044; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib", URL = "http://www.jstor.org/stable/25047066", acknowledgement = ack-nhfb, fjournal = "Technometrics", journal-URL = "http://www.jstor.org/journals/00401706.html", } @Article{Sisson:2003:BRBc, author = "Scott Sisson", title = "Book Review: {{\booktitle{The Basics of S-PLUS}}, by A. Krause; M. Olsen}", journal = j-J-R-STAT-SOC-SER-D-STATISTICIAN, volume = "52", number = "3", pages = "413--414", month = "????", year = "2003", CODEN = "????", DOI = "https://doi.org/10.2307/4128227", ISSN = "0039-0526 (print), 1467-9884 (electronic)", ISSN-L = "0039-0526", bibdate = "Thu Jan 22 18:10:23 MST 2015", bibsource = "http://www.jstor.org/stable/i384333; https://www.math.utah.edu/pub/tex/bib/jrss-d-2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstor.org/stable/4128227", acknowledgement = ack-nhfb, fjournal = "Journal of the Royal Statistical Society. Series D (The Statistician)", journal-URL = "http://www.jstor.org/journals/00390526.html", } @Article{Tolvi:2003:BRBc, author = "Jussi Tolvi", title = "Book Review: {{\booktitle{Modeling Financial Time Series with S-Plus}}, by E. Zivot; J. Wang}", journal = j-J-R-STAT-SOC-SER-D-STATISTICIAN, volume = "52", number = "4", pages = "705--705", month = "????", year = "2003", CODEN = "????", DOI = "https://doi.org/10.2307/4128162", ISSN = "0039-0526 (print), 1467-9884 (electronic)", ISSN-L = "0039-0526", bibdate = "Thu Jan 22 18:10:24 MST 2015", bibsource = "http://www.jstor.org/stable/i384335; https://www.math.utah.edu/pub/tex/bib/jrss-d-2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstor.org/stable/4128162", acknowledgement = ack-nhfb, fjournal = "Journal of the Royal Statistical Society. Series D (The Statistician)", journal-URL = "http://www.jstor.org/journals/00390526.html", } @Book{Zivot:2003:MFT, author = "Eric Zivot and Jiahui Wang", title = "Modeling financial time series with {S-Plus}", publisher = pub-SV, address = pub-SV:adr, pages = "xix + 632", year = "2003", ISBN = "0-387-95549-6 (paperback), 0-387-91624-5 (paperback)", ISBN-13 = "978-0-387-95549-0 (paperback), 978-0-387-91624-8 (paperback)", LCCN = "HG106 .Z584 2003", bibdate = "Thu Oct 20 05:53:01 MDT 2005", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; melvyl.cdlib.org:210/CDL90", acknowledgement = ack-nhfb, subject = "S-Plus; Finance; Mathematical models; Time-series analysis; Finance; Econometric models", } @Article{Anderson-Cook:2004:BRBc, author = "Christine M. Anderson-Cook", title = "Book Review: {{\booktitle{Statistical Tools for Nonlinear Regression: A Practical Guide with S-PLUS and R Examples}, second edition}, by S. Huet; A. Bouvier; M.-A. Poursat; E. Jolivet}", journal = j-J-AM-STAT-ASSOC, volume = "99", number = "467", pages = "902--903", month = sep, year = "2004", CODEN = "JSTNAL", ISSN = "0162-1459 (print), 1537-274X (electronic)", ISSN-L = "0162-1459", bibdate = "Wed Jan 25 08:06:28 MST 2012", bibsource = "http://www.amstat.org/publications/jasa/; http://www.jstor.org/journals/01621459.html; http://www.jstor.org/stable/i27590430; https://www.math.utah.edu/pub/tex/bib/jamstatassoc2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://miranda.asa.catchword.org/vl=1515603/cl=66/nw=1/rpsv/cw/asa/01621459/v99n467/s52/p904; http://www.jstor.org/stable/27590464", acknowledgement = ack-nhfb, fjournal = "Journal of the American Statistical Association", journal-URL = "http://www.tandfonline.com/loi/uasa20", } @Book{Atkinson:2004:EMD, author = "Anthony C. Atkinson and Marco Riani and Andrea Cerioli", title = "Exploring Multivariate Data with the Forward Search", volume = "??", publisher = pub-SV, address = pub-SV:adr, pages = "xxi + 621", year = "2004", CODEN = "????", DOI = "https://doi.org/10.1007/978-0-387-21840-3", ISBN = "0-387-21840-8", ISBN-13 = "978-0-387-21840-3", ISSN = "0172-7397", ISSN-L = "0172-7397", LCCN = "QA278 .A85 2004", bibdate = "Thu Jun 19 06:41:19 MDT 2014", bibsource = "https://www.math.utah.edu/pub/tex/bib/probstat2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", series = "Springer Series in Statistics", URL = "http://link.springer.com/book/10.1007/978-0-387-21840-3", abstract = "The forward search provides a method of revealing the structure of data through a mixture of model fitting and informative plots. The continuous multivariate data that are the subject of this book are often analyzed as if they come from one or more normal distributions. Such analyses, including the need for transformation, may be distorted by the presence of unidentified subsets and outliers, both individual and clustered. These important features are disguised by the standard procedures of multivariate analysis. The book introduces methods that reveal the effect of each observation on fitted models and inferences. The powerful methods of data analysis will be of importance to scientists and statisticians. Although the emphasis is on the analysis of data, theoretical developments make the book suitable for a graduate statistical course on multivariate analysis. Topics covered include principal components analysis, discriminant analysis, cluster analysis and the analysis of spatial data. S-Plus programs for the forward search are available on a web site. This book is a companion to Atkinson and Riani's Robust Diagnostic Regression Analysis of which the reviewer for The Journal of the Royal Statistical Society wrote ``I read this book, compulsive reading such as it was, in three sittings.'' Anthony Atkinson is Emeritus Professor of Statistics at the London School of Economics. He is also the author of Plots, Transformations, and Regression and coauthor of Optimum Experimental Designs. Professor Atkinson has served as Editor of The Journal of the Royal Statistical Society, Series B.", acknowledgement = ack-nhfb, remark = "Most volumes in this series are unnumbered.", series-URL = "http://link.springer.com/bookseries/692", subject = "Multivariate analysis; Multivariate analysis; Multivariate analyse; An{\'a}lise multivariada; Multivariate Analyse.", tableofcontents = "Examples of Multivariate Data \\ Multivariate Data and the Forward Search \\ Data from One Multivariate Distribution \\ Multivariate Transformations to Normality \\ Principal Components Analysis \\ Discriminant Analysis \\ Cluster Analysis \\ Spatial Linear Models", } @Article{Bates:2004:BRB, author = "Samantha C. Bates", title = "Book Review: {{\booktitle{Introductory Statistics with R}}}", journal = j-AMER-STAT, volume = "58", number = "1", pages = "88--??", month = feb, year = "2004", CODEN = "ASTAAJ", ISSN = "0003-1305 (print), 1537-2731 (electronic)", ISSN-L = "0003-1305", bibdate = "Fri Feb 20 06:14:28 MST 2004", bibsource = "http://www.amstat.org/publications/tas/; https://www.math.utah.edu/pub/tex/bib/amstat2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://oberon.ingentaselect.com/cgi-bin/linker?ini=asa&reqidx=/cw/asa/00031305/v58n1/s20/p88", acknowledgement = ack-nhfb, fjournal = "The American Statistician", journal-URL = "http://www.tandfonline.com/loi/utas20", } @Article{Beh:2004:PCO, author = "Eric J. Beh", title = "{S-PLUS} code for ordinal correspondence analysis", journal = j-COMP-STAT, volume = "19", number = "4", pages = "593--612", month = dec, year = "2004", CODEN = "CSTAEB", DOI = "https://doi.org/10.1007/BF02753914", ISSN = "0943-4062 (print), 1613-9658 (electronic)", ISSN-L = "0943-4062", bibdate = "Thu Jun 18 16:19:31 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://link.springer.com/article/10.1007/BF02753914", acknowledgement = ack-nhfb, ajournal = "Comp. Stat.", fjournal = "Computational Statistics", journal-URL = "http://link.springer.com/journal/180", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Sat Dec 04 09:18:40 2004", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Book{Carmona:2004:SAF, author = "R. (Ren{\'e}) Carmona", title = "Statistical analysis of financial data in {S-PLUS}", publisher = pub-SV, address = pub-SV:adr, pages = "xvi + 451", year = "2004", ISBN = "0-387-20286-2", ISBN-13 = "978-0-387-20286-0", LCCN = "HG106 .C37 2004", bibdate = "Thu Jul 10 08:12:40 MDT 2014", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Springer texts in statistics", URL = "http://www.loc.gov/catdir/enhancements/fy0818/2003066218-d.html; http://www.loc.gov/catdir/toc/fy044/2003066218.html", acknowledgement = ack-nhfb, remark = "Based on the author's lecture notes for a course at Princeton University.", subject = "Finance; Mathematical models; Econometric models; S-Plus", } @Book{Heiberger:2004:SAD, author = "Richard M. Heiberger and Burt Holland", title = "Statistical analysis and data display: an intermediate course with examples in {S-plus}, {R}, and {SAS}", publisher = pub-SV, address = pub-SV:adr, pages = "xxiv + 729", year = "2004", ISBN = "0-387-40270-5", ISBN-13 = "978-0-387-40270-3", LCCN = "QA276.4 .H445 2004", bibdate = "Mon Jul 4 16:49:12 MDT 2005", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Springer texts in statistics", acknowledgement = ack-nhfb, subject = "Mathematical statistics; Data processing; Statistics; Data processing; S-Plus; R (Computer programming language); SAS (Computer file)", } @Article{Hojsgaard:2004:MPG, author = "S{\o}ren H{\o}jsgaard", title = "The {{\tt mimR}} Package for Graphical Modelling in {R}", journal = j-J-STAT-SOFT, volume = "11", number = "6", pages = "1--13", month = "????", year = "2004", CODEN = "JSSOBK", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Sat Dec 04 09:18:40 2004", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Hornik:2004:RV, author = "Kurt Hornik and Friedrich Leisch", title = "{R Version 2.0.0}", journal = j-COMP-STAT, volume = "19", number = "4", pages = "661--664", month = dec, year = "2004", CODEN = "CSTAEB", DOI = "https://doi.org/10.1007/BF02753918", ISSN = "0943-4062 (print), 1613-9658 (electronic)", ISSN-L = "0943-4062", bibdate = "Thu Jun 18 16:19:31 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://link.springer.com/article/10.1007/BF02753918", acknowledgement = ack-nhfb, ajournal = "Comp. Stat.", fjournal = "Computational Statistics", journal-URL = "http://link.springer.com/journal/180", } @Article{Horton:2004:URT, author = "Nicholas J. Horton and Elizabeth R. Brown and Linjuan Qian", title = "Use of {R} as a Toolbox for Mathematical Statistics Exploration", journal = j-AMER-STAT, volume = "58", number = "4", pages = "343--357", month = nov, year = "2004", CODEN = "ASTAAJ", DOI = "https://doi.org/10.1198/000313004X5572", ISSN = "0003-1305 (print), 1537-2731 (electronic)", ISSN-L = "0003-1305", bibdate = "Fri Jan 27 18:16:35 MST 2012", bibsource = "http://www.amstat.org/publications/tas/; http://www.jstor.org/journals/00031305.html; http://www.jstor.org/stable/i27643578; https://www.math.utah.edu/pub/tex/bib/amstat2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstor.org/stable/27643595", acknowledgement = ack-nhfb, fjournal = "The American Statistician", journal-URL = "http://www.tandfonline.com/loi/utas20", } @Book{Huet:2004:STN, author = "S. (Sylvie) Huet and Annie Bouvier and Marie-Anne Poursat and Emmanuel Jolivet", title = "Statistical tools for nonlinear regression: a practical guide with {S-PLUS} and {R} examples", publisher = pub-SV, address = pub-SV:adr, edition = "Second", pages = "xiv + 232", year = "2004", ISBN = "0-387-40081-8", ISBN-13 = "978-0-387-40081-5", LCCN = "QA278.2 .H84 2004", bibdate = "Mon Jul 4 16:33:45 MDT 2005", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Springer series in statistics", acknowledgement = ack-nhfb, subject = "Regression analysis; Nonlinear theories; Parameter estimation", } @Article{Karatzoglou:2004:KSP, author = "Alexandros Karatzoglou and Alex Smola and Kurt Hornik and Achim Zeileis", title = "{\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Sat Dec 04 09:18:40 2004", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Koning:2004:FAF, author = "Ruud H. Koning", title = "{FinMetrics}: analysis of financial data in {S-PLUS}", journal = j-J-APPL-ECONOMETRICS, volume = "19", number = "2", pages = "283--290", month = mar # "--" # apr, year = "2004", CODEN = "JAECET", DOI = "https://doi.org/10.1002/jae.775", ISSN = "0883-7252 (print), 1099-1255 (electronic)", ISSN-L = "0883-7252", bibdate = "Sat Mar 9 10:20:09 MST 2019", bibsource = "https://www.math.utah.edu/pub/tex/bib/jappleconometrics.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, fjournal = "Journal of Applied Econometrics", journal-URL = "https://onlinelibrary.wiley.com/journal/10991255; https://www.jstor.org/journal/japplecon", onlinedate = "05 April 2004", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Sat Dec 04 09:18:40 2004", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{McNeil:2004:BRB, author = "Alexander J. McNeil", title = "Book Review: {{\booktitle{Modeling Financial Time Series with S-Plus}}, by Eric Zivot; Jiahui Wang}", journal = j-J-AM-STAT-ASSOC, volume = "99", number = "466", pages = "564--565", month = apr, year = "2004", CODEN = "JSTNAL", ISSN = "0162-1459 (print), 1537-274X (electronic)", ISSN-L = "0162-1459", bibdate = "Wed Jan 25 08:06:28 MST 2012", bibsource = "http://www.amstat.org/publications/jasa/; http://www.jstor.org/journals/01621459.html; http://www.jstor.org/stable/i27590385; https://www.math.utah.edu/pub/tex/bib/jamstatassoc2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://miranda.asa.catchword.org/vl=1515603/cl=66/nw=1/rpsv/cw/asa/01621459/v99n466/s34/p564; http://www.jstor.org/stable/27590420", acknowledgement = ack-nhfb, fjournal = "Journal of the American Statistical Association", journal-URL = "http://www.tandfonline.com/loi/uasa20", } @Book{RDCT:2004:RRM, author = "{R Development Core Team}", title = "The {R} reference manual: base package", publisher = pub-NETWORK-THEORY, address = pub-NETWORK-THEORY:adr, pages = "x + 723 (vol. 1), viii + 695 (vol. 2)", year = "2004", ISBN = "0-9546120-0-0 (vol. 1), 0-9546120-1-9 (vol. 2)", ISBN-13 = "978-0-9546120-0-9 (vol. 1), 978-0-9546120-1-6 (vol. 2)", LCCN = "QA76.7 RRE", bibdate = "Mon Jul 4 16:38:55 MDT 2005", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; library.ox.ac.uk:210/ADVANCE", acknowledgement = ack-nhfb, remark = "Version 1.8.1.", subject = "R (Computer programming language); Statistics; Data processing", } @Book{Ruppert:2004:SFI, author = "David Ruppert", title = "Statistics and finance: an introduction", publisher = pub-SV, address = pub-SV:adr, pages = "xx + 473", year = "2004", ISBN = "0-387-20270-6", ISBN-13 = "978-0-387-20270-9", LCCN = "HG176.5 .R87 2004", bibdate = "Fri Jul 25 07:18:07 MDT 2014", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Springer texts in statistics", URL = "http://www.loc.gov/catdir/enhancements/fy0818/2003063814-d.html; http://www.loc.gov/catdir/enhancements/fy0818/2003063814-t.html", abstract = "Emphasizing the applications of statistics and probability to finance, this book reviews the basics of probability and statistics, and introduces advanced topics in statistics, such as regression, ARMA and GARCH models, and others. It covers the classical methods of finance such as portfolio theory, CAPM, and the Black-Scholes formula.", acknowledgement = ack-nhfb, author-dates = "1948--", subject = "Finance; Statistical methods; Statistics", tableofcontents = "1: Introduction \\ 2: Probability and statistical models \\ 3: Returns \\ 4: Time series models \\ 5: Portfolio theory \\ 6: Regression \\ 7: The capital asset pricing model \\ 8: Options pricing \\ 9: Fixed income securities \\ 10: Resampling \\ 11: Value-at-risk \\ 12: GARCH models \\ 13: Nonparametric regression and splines \\ 14: Behavioral finance", } @Book{Venables:2004:IRN, editor = "W. N. (William N.) Venables", title = "An introduction to {R}: notes on {R}: a programming environment for data analysis and graphics, version 1.9.1", publisher = pub-NETWORK-THEORY, address = pub-NETWORK-THEORY:adr, edition = "Second printing, revised and updated", pages = "vi + 146", year = "2004", ISBN = "0-9541617-4-2 (paperback)", ISBN-13 = "978-0-9541617-4-3 (paperback)", bibdate = "Mon Jul 4 15:57:52 MDT 2005", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.libris.kb.se:210/libr", acknowledgement = ack-nhfb, subject = "R (Computer programming language); Mathematical statistics; Computer programs", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Sat Dec 04 09:18:40 2004", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.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", } @Article{Ziegel:2004:BRBg, author = "Eric R. Ziegel", title = "Book Review: {{\booktitle{An R and S-PLUS Companion to Applied Regression}} by John Fox}", journal = j-TECHNOMETRICS, volume = "46", number = "3", pages = "371--371", month = aug, year = "2004", CODEN = "TCMTA2", DOI = "https://doi.org/10.2307/25470872", ISSN = "0040-1706 (print), 1537-2723 (electronic)", ISSN-L = "0040-1706", bibdate = "Sat Jun 21 13:21:00 MDT 2014", bibsource = "http://www.jstor.org/journals/00401706.html; http://www.jstor.org/stable/i25470840; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib", URL = "http://www.jstor.org/stable/25470872", acknowledgement = ack-nhfb, fjournal = "Technometrics", journal-URL = "http://www.jstor.org/journals/00401706.html", } @Article{Baddeley:2005:SRP, author = "Adrian Baddeley and Rolf Turner", title = "{\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed May 18 11:18:51 2005", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Beh:2005:PCS, author = "Eric J. Beh", title = "{S-PLUS} code for simple and multiple correspondence analysis", journal = j-COMP-STAT, volume = "20", number = "3", pages = "415--438", month = sep, year = "2005", CODEN = "CSTAEB", DOI = "https://doi.org/10.1007/BF02741306", ISSN = "0943-4062 (print), 1613-9658 (electronic)", ISSN-L = "0943-4062", bibdate = "Thu Jun 18 16:19:32 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://link.springer.com/article/10.1007/BF02741306", acknowledgement = ack-nhfb, ajournal = "Comp. Stat.", fjournal = "Computational Statistics", journal-URL = "http://link.springer.com/journal/180", } @Book{Box:2005:SED, author = "George E. P. Box and J. Stuart Hunter and William Gordon Hunter", title = "Statistics for experimenters: design, innovation, and discovery", publisher = pub-WILEY-INTERSCIENCE, address = pub-WILEY-INTERSCIENCE:adr, edition = "Second", pages = "xvii + 633", year = "2005", ISBN = "0-471-71813-0", ISBN-13 = "978-0-471-71813-0", LCCN = "QA279 .B69 2005", bibdate = "Wed Sep 15 09:42:59 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Wiley series in probability and statistics", URL = "http://www.loc.gov/catdir/enhancements/fy0619/2004063780-b.html; http://www.loc.gov/catdir/enhancements/fy0619/2004063780-d.html; http://www.loc.gov/catdir/toc/wiley051/2004063780.html; http://www.wiley.com/WileyCDA/WileyTitle/productCd-0471718130.html", acknowledgement = ack-nhfb, subject = "experimental design; analysis of variance; mathematical statistics", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Mon Dec 12 11:09:58 2005", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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 {\tt 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", } @Article{Buttrey:2005:CLL, author = "Samuel E. Buttrey", title = "Calling the {\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed May 18 11:18:51 2005", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Cox:2005:BRS, author = "Christopher Cox", title = "Book Review: 1. {{\booktitle{Statistical tools for non-linear regression. A practical guide with S-Plus and R examples}} (2nd edn). Sylvie Huet, Annie Bouvier, Marie-Anne Poursat and Emmanuel Jolivet, Springer, New York, 2004. No. of pages: xiv + 232. Price: \$74.94, \pounds 57.50, EUR74.95 (+ VAT). ISBN 0-387-40081-8}", journal = j-STAT-MED, volume = "24", number = "13", pages = "2105--2106", day = "15", month = jul, year = "2005", CODEN = "SMEDDA", DOI = "https://doi.org/10.1002/sim.2084", ISSN = "0277-6715 (print), 1097-0258 (electronic)", ISSN-L = "0277-6715", bibdate = "Sat Jun 27 15:46:42 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/statmed2000.bib", acknowledgement = ack-nhfb, ajournal = "Stat. Med.", fjournal = "Statistics in Medicine", journal-URL = "https://onlinelibrary.wiley.com/journal/10970258", onlinedate = "06 June 2005", } @Book{Crawley:2005:SIU, author = "Michael J. Crawley", title = "Statistics: an introduction using {R}", publisher = pub-WILEY, address = pub-WILEY:adr, pages = "xiii + 327", year = "2005", ISBN = "0-470-02297-3 (hardback), 0-470-02298-1 (paperback)", ISBN-13 = "978-0-470-02297-9 (hardback), 978-0-470-02298-6 (paperback)", LCCN = "QA276.12 .C73 2005", bibdate = "Mon Jul 4 16:35:33 MDT 2005", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", URL = "ftp://uiarchive.cso.uiuc.edu/pub/etext/gutenberg/; http://www.imperial.ac.uk/bio/research/crawley/statistics; http://www.loc.gov/catdir/toc/ecip053/2004026793.html", acknowledgement = ack-nhfb, subject = "Mathematical statistics; Textbooks; R (Computer programming language)", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:15 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{deLeeuw:2005:BRBa, 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:15 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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:BRBb, 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:15 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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{Dias:2005:SAF, author = "Alexandra Dias", title = "Statistical Analysis of Financial Data in {S-Plus}", journal = j-AMER-STAT, volume = "59", number = "4", pages = "351--351", month = nov, year = "2005", CODEN = "ASTAAJ", DOI = "https://doi.org/10.1198/tas.2005.s34", ISSN = "0003-1305 (print), 1537-2731 (electronic)", ISSN-L = "0003-1305", bibdate = "Thu Aug 26 21:48:26 MDT 2010", bibsource = "http://www.amstat.org/publications/tas/; https://www.math.utah.edu/pub/tex/bib/amstat2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, fjournal = "The American Statistician", journal-URL = "http://www.tandfonline.com/loi/utas20", } @Book{Everitt:2005:RPC, author = "Brian S. Everitt", title = "An {R} and {S-PLUS} companion to multivariate analysis", publisher = pub-SV, address = pub-SV:adr, pages = "xiii + 221", year = "2005", ISBN = "1-85233-882-2", ISBN-13 = "978-1-85233-882-4", LCCN = "QA278 .E926 2005", bibdate = "Mon Jul 4 16:31:29 MDT 2005", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Springer texts in statistics", acknowledgement = ack-nhfb, subject = "Multivariate analysis; S-Plus; R (Computer program language)", } @Book{Faraway:2005:LMR, author = "Julian James Faraway", title = "Linear models with {R}", volume = "63", publisher = pub-CHAPMAN-HALL-CRC, address = pub-CHAPMAN-HALL-CRC:adr, pages = "x + 229", year = "2005", ISBN = "1-58488-425-8", ISBN-13 = "978-1-58488-425-5", LCCN = "QA279 .F37 2005", bibdate = "Mon Jul 4 16:28:36 MDT 2005", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Texts in statistical science", acknowledgement = ack-nhfb, subject = "Analysis of variance; Regression analysis", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed May 18 11:18:51 2005", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:15 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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{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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Mon Dec 12 11:09:58 2005", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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 {\tt tcltk} package (which furnishes an interface to the Tcl/Tk GUI toolkit), the {\tt 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", } @Book{Gentleman:2005:BCB, editor = "Robert Gentleman and Rafael A. Irizarry and Wolfgang Huber and Sandrine Dudoit and Vincent J. Carey", title = "Bioinformatics and computational biology solutions using {R} and {Bioconductor}", publisher = "Springer Science+Business Media", address = "New York, NY, USA", pages = "xix + 473", year = "2005", ISBN = "0-387-25146-4", ISBN-13 = "978-0-387-25146-2", LCCN = "QH324.2 .B5473 2005", bibdate = "Thu Jul 10 08:33:13 MDT 2014", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Statistics for biology and health", URL = "http://www.loc.gov/catdir/enhancements/fy0662/2005923843-d.html; http://www.loc.gov/catdir/enhancements/fy0818/2005923843-t.html", acknowledgement = ack-nhfb, subject = "Bioinformatics; Bioconductor (Computer file); R (Computer program language)", tableofcontents = "Sequence databases / Rolf Apweiler \\ Mapping databases / Tara Matise and Peter S. White \\ Information retrieval from biological databases / Andreas D. Baxevanis \\ Genomic databases / Tyra Wolfsberg \\ Predictive methods using DNA sequences / Roderic Guig{\'o} and Enrique Blanco \\ Predictive methods using RNA sequences / Michael Zucker and David Mathews \\ Sequence polymorphisms / James C. Mullikin and Stephen T. Sherry \\ Predictive methods using protein sequences / Burkhard Rost and Yanay Ofran \\ Protein structure prediction and analysis / David Wishart \\ Intermolecular interactions and biological pathways / Gary D. Bader and Anton J. Enright \\ Assessing pairwise sequence similarity: blast and fasta / Andreas D. Baxevanis \\ Creation and analysis of protein multiple sequence alignments / Geoffrey J. Barton \\ Sequence assembly and finishing methods / Gerard Bouffard, Nancy F. Hansen, and Pamela Jacques Thomas \\ Phylogenetic analysis / Fiona S. L. Brinkman \\ Computational approaches in comparative genomics / Andreas D. Baxevanis \\ Microarray analysis / John Quackenbush \\ Proteomics and protein identification / Michael Giddings, Mark R. Holmes, and Kevin Ramkissoon \\ Using perl to facilitate biological analysis / Lincoln D. Stein", } @Book{Good:2005:IST, author = "Phillip I. Good", title = "Introduction to statistics through resampling methods and {R/S-PLUS}", publisher = pub-WILEY-INTERSCIENCE, address = pub-WILEY-INTERSCIENCE:adr, pages = "xii + 229", year = "2005", ISBN = "0-471-71575-1 (paperback)", ISBN-13 = "978-0-471-71575-7 (paperback)", LCCN = "QA278.8 .G63 2005", bibdate = "Thu Oct 20 05:47:15 MDT 2005", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", URL = "ftp://uiarchive.cso.uiuc.edu/pub/etext/gutenberg/; http://www.loc.gov/catdir/toc/wiley051/2004061922.html", acknowledgement = ack-nhfb, subject = "Resampling (Statistics); S-Plus", tableofcontents = "Preface \\ 1. Variation \\ 1.1 Variation \\ 1.2. Collecting Data \\ 1.3. Summarizing Your Data \\ 1.4. Types of Data \\ 1.5. Reporting Your Results \\ 1.6. Measures of Location \\ 1.7. Samples and Populations \\ 1.8. Variation---Within and Between \\ 1.9. Summary and Review \\ 2. Probability \\ 2.1. Probability \\ 2.2. Binomial \\ 2.3. Condition Probability \\ 2.4. Independence \\ 2.5. Applications to Genetics \\ 2.6. Summary and Review \\ 3. Distributions \\ 3.1. Distribution of Values \\ 3.2. Discrete Distributions \\ 3.3. Continuous Distributions \\ 3.4. Properties of Independence Observations \\ 3.5. Testing A Hypothesis \\ 3.6. Estimating Effect Size \\ 3.7 Summary and Review \\ 4. Testing Hypotheses \\ 4.1. One-Sample Problems \\ 4.2. Comparing Two Samples \\ 4.3. Which Test Should e Use? \\ 4.4. Summary and Review \\ 5. Designing an Experiment or Survey \\ 5.1. The Hawthorne Effect \\ 5.2. Designing an Experiment or Survey \\ 5.3. How Large a Sample \\ 5.4. Meta-Analysis \\ 5.5. Summary and Review \\ 6. Analyzing Complex Experiments \\ 6.1. Changes Measured in Percentages \\ 6.2. Comparing More Than Two Samples \\ 6.3. Equalizing Variances \\ 6.4. Categorical Data \\ 6.5. Multivariate Analysis \\ 6.6. Summary and Review \\ 7. Developing Models \\ 7.1. Models \\ 7.2. Regression \\ 7.3. Fitting a Regression Equation \\ 7.4. Problems with Regression \\ 7.5 Quantile Regression \\ 7.6. Validation \\ 7.7 Classification- and Regression-Trees \\ 7.8 Summary and Review \\ 8. Reporting Your Findings \\ 8.1. What to Report \\ 8.2. Text, Tables, of Graph? \\ 8.3. Summarizing Your Results \\ 8.4 Reporting Analysis Results \\ 8.5 Exceptions are the Real Story \\ 9. Problem Solving \\ 9.1. Real Life Problems \\ 9.2. Problem Sets \\ 9.3. Solutions \\ Appendix: S-PLUS \\ Answers to Selected Exercises \\ Subject Index \\ Index to R Functions", } @Article{Gould:2005:BRB, 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:15 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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{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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Mon Dec 12 11:09:58 2005", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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 {\tt emulator} and {\tt 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 {\tt emulator} carries out Bayesian emulation of computer code output; package {\tt 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", } @Article{Hewson:2005:BRBa, author = "Paul Hewson", title = "Book Review: {{\booktitle{Statistical Tools for Nonlinear Regression: a Practical Guide with S-PLUS and R Examples}}, 2nd edn}", journal = j-J-R-STAT-SOC-SER-A-STAT-SOC, volume = "168", number = "1", pages = "254--254", month = jan, year = "2005", CODEN = "JSSAEF", DOI = "https://doi.org/10.1111/j.1467-985X.2004.00347_7.x; https://doi.org/10.2307/3559726", ISSN = "0964-1998 (print), 1467-985X (electronic)", ISSN-L = "0964-1998", bibdate = "Mon Jan 26 13:24:14 MST 2015", bibsource = "http://www.jstor.org/stable/i369612; https://www.math.utah.edu/pub/tex/bib/jrss-a-2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstor.org/stable/3559726", acknowledgement = ack-nhfb, fjournal = "Journal of the Royal Statistical Society. Series A (Statistics in Society)", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-985X; http://www.jstor.org/journals/09641998.html", onlinedate = "15 Dec 2004", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Mon Dec 12 11:09:58 2005", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Hojsgaard:2005:RPG, author = "S{\o}ren H{\o}jsgaard and Ulrich Halekoh and Jun Yan", title = "The {R} Package {\tt geepack} for Generalized Estimating Equations", journal = j-J-STAT-SOFT, volume = "15", number = "2", pages = "1--11", month = dec, year = "2005", CODEN = "JSSOBK", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:15 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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 {\tt 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 {\tt 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{Hornik:2005:RV, author = "Kurt Hornik and Friedrich Leisch", title = "{R Version 2.1.0}", journal = j-COMP-STAT, volume = "20", number = "2", pages = "197--202", month = jun, year = "2005", CODEN = "CSTAEB", DOI = "https://doi.org/10.1007/BF02789699", ISSN = "0943-4062 (print), 1613-9658 (electronic)", ISSN-L = "0943-4062", bibdate = "Thu Jun 18 16:19:31 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://link.springer.com/article/10.1007/BF02789699", acknowledgement = ack-nhfb, ajournal = "Comp. Stat.", fjournal = "Computational Statistics", journal-URL = "http://link.springer.com/journal/180", } @Article{Imai:2005:MRP, author = "Kosuke Imai and David A. {Van Dyk}", title = "{{\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed May 18 11:18:51 2005", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed May 18 11:18:51 2005", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Mon Dec 12 11:09:58 2005", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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 {\tt 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 {\tt 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", } @Book{Krause:2005:BP, author = "Andreas Krause", title = "The basics of {S-Plus}", publisher = pub-SV, address = pub-SV:adr, edition = "Fourth", pages = "xxii + 442", year = "2005", ISBN = "0-387-26109-5", ISBN-13 = "978-0-387-26109-6", LCCN = "QA276.4 .K73 2005", bibdate = "Thu Oct 20 05:47:11 MDT 2005", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; sirsi.library.utoronto.ca:2200/UNICORN; z3950.loc.gov:7090/Voyager", series = "Statistics, computing", acknowledgement = ack-nhfb, } @Book{Lemmon:2005:DSS, author = "David R. Lemmon and J. L. (Joseph L.) Schafer", title = "Developing statistical software in {Fortran 95}", publisher = pub-SV, address = pub-SV:adr, pages = "xv + 323", year = "2005", ISBN = "0-387-28123-1, 0-387-23817-4 (paperback)", ISBN-13 = "978-0-387-28123-0, 978-0-387-23817-3 (paperback)", LCCN = "QA76.5 .L453 2005", MRclass = "65C60 (62-02 62-04 65-02 65Y15 68N15)", bibdate = "Sat Aug 16 17:32:32 MDT 2014", bibsource = "https://www.math.utah.edu/pub/tex/bib/fortran3.bib; https://www.math.utah.edu/pub/tex/bib/matlab.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/sas.bib; https://www.math.utah.edu/pub/tex/bib/spss.bib; z3950.loc.gov:7090/Voyager", series = "Statistics and computing", URL = "http://www.loc.gov/catdir/enhancements/fy0662/2004061447-d.html; http://www.loc.gov/catdir/enhancements/fy0818/2004061447-t.html", abstract = "This book gives statisticians, biostatisticians and methodologically-oriented researchers the tools they need to develop high-quality statistical software. Through detailed examples, readers are shown how to call Fortran procedures from packages including Excel, SAS, SPSS, S-PLUS, R, and MATLAB. They are even given a tutorial on creating GUIs for Fortran computational code using Visual Basic.NET.\par This book is for those who want to learn how to create statistical applications quickly and effectively. Prior experience with a programming language such as Basic, Fortran or C is helpful but not required. More experienced programmers will learn new strategies to harness the power of modern Fortran and the object-oriented paradigm. This may serve as a supplementary text for a graduate course on statistical computing.", acknowledgement = ack-nhfb, subject = "FORTRAN (Computer program language); Statistics; Data processing", tableofcontents = "1: Motivation \\ 2: Introduction to modern Fortran \\ 3: A pseudo object-oriented style \\ 4: Implementing computational routines \\ 5: Developing a console application \\ 6: Creating and using dynamic-link libraries \\ 7: Creating COM servers \\ 8: Creating COM clients", } @Book{Murtagh:2005:CAD, author = "Fionn Murtagh", title = "Correspondence analysis and data coding with {Java} and {R}", publisher = pub-CHAPMAN-HALL-CRC, address = pub-CHAPMAN-HALL-CRC:adr, pages = "230", year = "2005", ISBN = "1-58488-528-9", ISBN-13 = "978-1-58488-528-3", LCCN = "QA76.73.J38 M877 2005", bibdate = "Wed Jul 9 11:11:42 MDT 2014", bibsource = "https://www.math.utah.edu/pub/tex/bib/java2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Computer science and data analysis series", URL = "http://www.loc.gov/catdir/enhancements/fy0648/2005041353-d.html", acknowledgement = ack-nhfb, remark = "Foreword by J.-P. Benz{\'e}cri.", subject = "Java (Computer program language); R (Computer program language); Correspondence analysis (Statistics)", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed May 18 11:18:51 2005", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Prins:2005:LMR, author = "Samantha C. Bates Prins", title = "Linear Models with {R}", journal = j-AMER-STAT, volume = "59", number = "3", pages = "276--276", month = aug, year = "2005", CODEN = "ASTAAJ", DOI = "https://doi.org/10.1198/tas.2005.s247", ISSN = "0003-1305 (print), 1537-2731 (electronic)", ISSN-L = "0003-1305", bibdate = "Thu Aug 26 21:48:26 MDT 2010", bibsource = "http://www.amstat.org/publications/tas/; https://www.math.utah.edu/pub/tex/bib/amstat2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, fjournal = "The American Statistician", journal-URL = "http://www.tandfonline.com/loi/utas20", } @Article{Prins:2005:SAD, author = "Samantha C. Bates Prins", title = "Statistical Analysis and Data Display: An Intermediate Course with Examples in {S-Plus}, {R}, and {SAS}", journal = j-AMER-STAT, volume = "59", number = "3", pages = "275--276", month = aug, year = "2005", CODEN = "ASTAAJ", DOI = "https://doi.org/10.1198/tas.2005.s246", ISSN = "0003-1305 (print), 1537-2731 (electronic)", ISSN-L = "0003-1305", bibdate = "Thu Aug 26 21:48:26 MDT 2010", bibsource = "http://www.amstat.org/publications/tas/; https://www.math.utah.edu/pub/tex/bib/amstat2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, fjournal = "The American Statistician", journal-URL = "http://www.tandfonline.com/loi/utas20", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed May 18 11:18:51 2005", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Robinson:2005:BRB, author = "Timothy J. Robinson", title = "Book Review: {{\booktitle{Linear Models with R}} by Julian J. Faraway}", journal = j-TECHNOMETRICS, volume = "47", number = "3", pages = "372--373", month = aug, year = "2005", CODEN = "TCMTA2", DOI = "https://doi.org/10.2307/25471031", ISSN = "0040-1706 (print), 1537-2723 (electronic)", ISSN-L = "0040-1706", bibdate = "Sat Jun 21 13:21:06 MDT 2014", bibsource = "http://www.jstor.org/journals/00401706.html; http://www.jstor.org/stable/i25471016; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib", URL = "http://www.jstor.org/stable/25471031", acknowledgement = ack-nhfb, fjournal = "Technometrics", journal-URL = "http://www.jstor.org/journals/00401706.html", } @Book{Rossi:2005:BSM, author = "Peter E. (Peter Eric) Rossi and Greg M. (Greg Martin) Allenby and Robert E. (Robert Edward) McCulloch", title = "{Bayesian} statistics and marketing", publisher = pub-WILEY, address = pub-WILEY:adr, pages = "x + 348", year = "2005", ISBN = "0-470-86367-6", ISBN-13 = "978-0-470-86367-1", LCCN = "HF5415.2 .R675 2005", bibdate = "Wed Sep 15 09:41:11 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", URL = "http://www.loc.gov/catdir/enhancements/fy0622/2005016418-d.html; http://www.loc.gov/catdir/toc/ecip0514/2005016418.html; http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470863676.html", acknowledgement = ack-nhfb, subject = "marketing research; mathematical models; marketing; Bayesian statistical decision theory; R (computer programming language); bayesm (R package)", } @Book{Scherer:2005:IMP, author = "Bernd Michael Scherer and R. Douglas Martin", title = "Introduction to modern portfolio optimization with {NuOPT} and {S-PLUS}", publisher = pub-SV, address = pub-SV:adr, pages = "xxi + 405", year = "2005", ISBN = "0-387-21016-4", ISBN-13 = "978-0-387-21016-2", LCCN = "HG4529.5 .S325 2005", bibdate = "Thu Oct 20 05:47:12 MDT 2005", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", acknowledgement = ack-nhfb, subject = "Portfolio management; Data processing", } @Book{Seefeld:2005:RB, author = "Kim Seefeld and Ernst Linder", title = "{R} for Bioinformatics", publisher = pub-ORA-MEDIA, address = pub-ORA-MEDIA:adr, pages = "320 (est.)", year = "2005", ISBN = "0-596-00544-X", ISBN-13 = "978-0-596-00544-3", LCCN = "????", bibdate = "Mon Jul 04 16:50:00 2005", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:15 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Stare:2005:BRS, author = "Janez Stare", title = "Book Review: 3. {{\booktitle{Survival analysis using S: Analysis of time to event data}}. Mara Tableman and Jong Sung Kim with a contribution from Stephen Portnoy, Chapman and Hall\slash CRC, Boca Raton, 2004. No. of pages: xv + 280. Price: \$69.95. ISBN 1-58488-408-8}", journal = j-STAT-MED, volume = "24", number = "2", pages = "327--328", day = "30", month = jan, year = "2005", CODEN = "SMEDDA", DOI = "https://doi.org/10.1002/sim.1983", ISSN = "0277-6715 (print), 1097-0258 (electronic)", ISSN-L = "0277-6715", bibdate = "Sat Jun 27 15:46:38 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/statmed2000.bib", acknowledgement = ack-nhfb, ajournal = "Stat. Med.", fjournal = "Statistics in Medicine", journal-URL = "https://onlinelibrary.wiley.com/journal/10970258", onlinedate = "05 January 2005", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:15 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Sturtz:2005:RPR, author = "Sibylle Sturtz and Uwe Ligges and Andrew Gelman", title = "{{\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed May 18 11:18:51 2005", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Mon Dec 12 11:09:58 2005", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Tusell:2005:BRB, author = "Fernando Tusell", title = "Book Review: {{\booktitle{Linear Models with R}}}", journal = j-J-R-STAT-SOC-SER-A-STAT-SOC, volume = "168", number = "3", pages = "632--632", month = jul, year = "2005", CODEN = "JSSAEF", DOI = "https://doi.org/10.1111/j.1467-985X.2005.00368_5.x; https://doi.org/10.2307/3559846", ISSN = "0964-1998 (print), 1467-985X (electronic)", ISSN-L = "0964-1998", bibdate = "Mon Jan 26 13:24:14 MST 2015", bibsource = "http://www.jstor.org/stable/i369614; https://www.math.utah.edu/pub/tex/bib/jrss-a-2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstor.org/stable/3559846", acknowledgement = ack-nhfb, fjournal = "Journal of the Royal Statistical Society. Series A (Statistics in Society)", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-985X; http://www.jstor.org/journals/09641998.html", onlinedate = "9 Jun 2005", } @Article{Utlaut:2005:BRB, author = "Theresa L. Utlaut", title = "Book Review: {{\booktitle{Statistical Analysis and Data Display: An Intermediate Course with Examples in S-PLUS. R, and SAS}} by Richard M. Heiberger; Burt Holland}", journal = j-TECHNOMETRICS, volume = "47", number = "3", pages = "371--371", month = aug, year = "2005", CODEN = "TCMTA2", DOI = "https://doi.org/10.2307/25471029", ISSN = "0040-1706 (print), 1537-2723 (electronic)", ISSN-L = "0040-1706", bibdate = "Sat Jun 21 13:21:06 MDT 2014", bibsource = "http://www.jstor.org/journals/00401706.html; http://www.jstor.org/stable/i25471016; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib", URL = "http://www.jstor.org/stable/25471029", acknowledgement = ack-nhfb, fjournal = "Technometrics", journal-URL = "http://www.jstor.org/journals/00401706.html", } @Book{Verzani:2005:URI, author = "John Verzani", title = "Using {R} for introductory statistics", publisher = pub-CHAPMAN-HALL-CRC, address = pub-CHAPMAN-HALL-CRC:adr, pages = "xvi + 414", year = "2005", ISBN = "1-58488-450-9", ISBN-13 = "978-1-58488-450-7", LCCN = "QA276.4 .V47 2005", bibdate = "Mon Jul 4 16:32:30 MDT 2005", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", acknowledgement = ack-nhfb, subject = "Statistics; Data processing; R (Computer program language)", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed May 18 11:18:51 2005", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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 {\tt 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", } @Article{Ziegel:2005:BRBb, author = "Eric R. Ziegel", title = "Book Review: {{\booktitle{Statistical Analysis of Financial Data in S-PLUS}} by Ren{\'e} A. Carmona}", journal = j-TECHNOMETRICS, volume = "47", number = "2", pages = "242--243", month = may, year = "2005", CODEN = "TCMTA2", DOI = "https://doi.org/10.2307/25471002", ISSN = "0040-1706 (print), 1537-2723 (electronic)", ISSN-L = "0040-1706", bibdate = "Sat Jun 21 13:21:05 MDT 2014", bibsource = "http://www.jstor.org/journals/00401706.html; http://www.jstor.org/stable/i25470971; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib", URL = "http://www.jstor.org/stable/25471002", acknowledgement = ack-nhfb, fjournal = "Technometrics", journal-URL = "http://www.jstor.org/journals/00401706.html", } @Book{Zivot:2005:MFT, author = "Eric Zivot", title = "Modeling financial time series with {S-Plus}", publisher = pub-SV, address = pub-SV:adr, edition = "Second", pages = "????", year = "2005", ISBN = "0-387-27965-2", ISBN-13 = "978-0-387-27965-7", bibdate = "Thu Oct 20 05:47:17 MDT 2005", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", acknowledgement = ack-nhfb, } @Article{Anonymous:2006:BBP, author = "Anonymous", title = "{{\booktitle{The Basics of S-PLUS}} by Andreas Krause; Melvin Olson}", journal = j-TECHNOMETRICS, volume = "48", number = "2", pages = "314--314", month = may, year = "2006", CODEN = "TCMTA2", DOI = "https://doi.org/10.2307/25471184", ISSN = "0040-1706 (print), 1537-2723 (electronic)", ISSN-L = "0040-1706", bibdate = "Sat Jun 21 13:21:10 MDT 2014", bibsource = "http://www.jstor.org/journals/00401706.html; http://www.jstor.org/stable/i25471152; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib", URL = "http://www.jstor.org/stable/25471184", acknowledgement = ack-nhfb, fjournal = "Technometrics", journal-URL = "http://www.jstor.org/journals/00401706.html", } @Article{Anonymous:2006:BRBam, author = "Anonymous", title = "Book Review: {{\booktitle{A Handbook of Statistical Analysis Using R}} by Brian Everitt; Torster Northorn}", journal = j-TECHNOMETRICS, volume = "48", number = "4", pages = "577--577", month = nov, year = "2006", CODEN = "TCMTA2", DOI = "https://doi.org/10.2307/25471266", ISSN = "0040-1706 (print), 1537-2723 (electronic)", ISSN-L = "0040-1706", bibdate = "Sat Jun 21 13:21:14 MDT 2014", bibsource = "http://www.jstor.org/journals/00401706.html; http://www.jstor.org/stable/i25471234; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib", URL = "http://www.jstor.org/stable/25471266", acknowledgement = ack-nhfb, fjournal = "Technometrics", journal-URL = "http://www.jstor.org/journals/00401706.html", } @Article{Anonymous:2006:BRHa, author = "Anonymous", title = "Book Review: {{\booktitle{A Handbook of Statistical Analyses Using R}}, Edited by Everitt, B. S. and Hothorn, T.}", journal = j-BIOMETRICS, volume = "62", number = "4", pages = "1279--1279", month = dec, year = "2006", CODEN = "BIOMB6", DOI = "https://doi.org/10.1111/j.1541-0420.2006.00596_14.x", ISSN = "0006-341X (print), 1541-0420 (electronic)", ISSN-L = "0006-341X", bibdate = "Thu Jun 25 10:48:10 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, ajournal = "Biometrics", fjournal = "Biometrics", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420", onlinedate = "06 December 2006", } @Article{Anonymous:2006:BRU, author = "Anonymous", title = "Book Reviews: {{\booktitle{Using R for Introductory Statistics}}, by J. Verzani and \booktitle{An R and S-Plus Companion to Multivariate Analysis} by B. S. Everitt}", journal = j-BIOMETRICS, volume = "62", number = "1", pages = "311--311", month = mar, year = "2006", CODEN = "BIOMB6", DOI = "https://doi.org/10.1111/j.1541-0420.2006.00540_13.x", ISSN = "0006-341X (print), 1541-0420 (electronic)", ISSN-L = "0006-341X", bibdate = "Thu Jun 25 10:48:08 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, ajournal = "Biometrics", fjournal = "Biometrics", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420", onlinedate = "12 August 2009", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:15 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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{Calenge:2006:PPA, author = "Cl{\'e}ment Calenge", title = "The package ``\pkg{adehabitat}'' for the {R} software: a tool for the analysis of space and habitat use by animals", journal = j-ECOL-MODELL, volume = "197", number = "3--4", pages = "516--519", day = "25", month = aug, year = "2006", CODEN = "ECMODT", DOI = "https://doi.org/10.1016/j.ecolmodel.2006.03.017", ISSN = "0304-3800 (print), 1872-7026 (electronic)", ISSN-L = "0304-3800", bibdate = "Fri Nov 12 08:34:44 MST 2021", bibsource = "https://www.math.utah.edu/pub/tex/bib/ecolmodell2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.sciencedirect.com/science/article/pii/S0304380006001414", acknowledgement = ack-nhfb, ajournal = "Ecol. Modell.", fjournal = "Ecological Modelling: International Journal on Ecological Modelling and Systems Ecology", journal-URL = "https://www.sciencedirect.com/journal/ecological-modelling", } @Article{Culp:2006:ARP, author = "Mark Culp and Kjell Johnson and George Michailides", title = "{\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:15 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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. {\tt 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{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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:15 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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{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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:15 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Dialsingh:2006:BRBc, author = "Isaac Dialsingh", title = "Book Review: {{\booktitle{Statistical Analysis of Financial Data in S-Plus}}, by R. A. Carmona}", journal = j-J-R-STAT-SOC-SER-A-STAT-SOC, volume = "169", number = "4", pages = "1004--1005", month = oct, year = "2006", CODEN = "JSSAEF", DOI = "https://doi.org/10.1111/j.1467-985X.2006.00446_3.x; https://doi.org/10.2307/3877409", ISSN = "0964-1998 (print), 1467-985X (electronic)", ISSN-L = "0964-1998", bibdate = "Mon Jan 26 13:24:14 MST 2015", bibsource = "http://www.jstor.org/stable/i371778; https://www.math.utah.edu/pub/tex/bib/jrss-a-2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstor.org/stable/3877409", acknowledgement = ack-nhfb, fjournal = "Journal of the Royal Statistical Society. Series A (Statistics in Society)", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-985X; http://www.jstor.org/journals/09641998.html", onlinedate = "18 Sep 2006", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:15 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Doerge:2006:BRB, author = "R. W. Doerge", title = "Book Review: {{\booktitle{Bioinformatics and Computational Biology Solutions Using R and Bioconductor}}, edited by Gentleman, R., Carey, V., Huber, W., Irizarry, R., and Dudoit, S.}", journal = j-BIOMETRICS, volume = "62", number = "4", pages = "1270--1271", month = dec, year = "2006", CODEN = "BIOMB6", DOI = "https://doi.org/10.1111/j.1541-0420.2006.00596_2.x", ISSN = "0006-341X (print), 1541-0420 (electronic)", ISSN-L = "0006-341X", bibdate = "Thu Jun 25 10:48:10 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, ajournal = "Biometrics", fjournal = "Biometrics", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420", onlinedate = "06 December 2006", } @Book{Everitt:2006:HSA, author = "Brian Everitt and Torsten Hothorn", title = "A Handbook of Statistical Analyses Using {R}", publisher = pub-CHAPMAN-HALL-CRC, address = pub-CHAPMAN-HALL-CRC:adr, pages = "xvi + 275", year = "2006", ISBN = "1-58488-539-4", ISBN-13 = "978-1-58488-539-9", LCCN = "QA276.45.R3 E94 2006", bibdate = "Sat Jun 13 09:37:41 MDT 2009", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", URL = "http://www.loc.gov/catdir/enhancements/fy0648/2005056944-d.html; http://www.loc.gov/catdir/toc/fy0608/2005056944.html", acknowledgement = ack-nhfb, subject = "mathematical statistics; data processing; handbooks, manuals, etc; R (computer programming language)", } @Book{Faraway:2006:ELM, author = "Julian James Faraway", title = "Extending the Linear Model with {R}: Generalized Linear, Mixed Effects and Nonparametric Regression Models", publisher = pub-CHAPMAN-HALL-CRC, address = pub-CHAPMAN-HALL-CRC:adr, pages = "ix + 301", year = "2006", ISBN = "1-58488-424-X", ISBN-13 = "978-1-58488-424-8", LCCN = "QA279 .F368 2006", bibdate = "Sat Jun 27 08:33:07 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Chapman and Hall/CRC texts in statistical science series", URL = "http://www.loc.gov/catdir/enhancements/fy0646/2005054822-d.html", acknowledgement = ack-nhfb, subject = "Analysis of variance; Regression analysis; R (Computer program language); Mathematical models", } @Article{Fischer:2006:BRZ, author = "Matthias Fischer", title = "Book Review: {Zivot Eric and Jiahui Wang, \booktitle{Modeling Financial Time Series with S-PLUS}}", journal = j-ASTA-ADV-STAT-ANAL, volume = "90", number = "4", pages = "631--632", month = dec, year = "2006", CODEN = "????", DOI = "https://doi.org/10.1007/s10182-006-0013-y", ISSN = "1863-8171 (print), 1863-818X (electronic)", ISSN-L = "1863-8171", bibdate = "Thu Feb 5 09:35:35 MST 2015", bibsource = "https://www.math.utah.edu/pub/tex/bib/asta.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://link.springer.com/accesspage/article/10.1007/s10182-006-0013-y", acknowledgement = ack-nhfb, fjournal = "AStA. Advances in Statistical Analysis", journal-URL = "http://link.springer.com/journal/10182", } @Article{Gunter:2006:BRB, author = "Berton H. Gunter", title = "Book Review: {{\booktitle{R Graphics}} by Paul Murrell}", journal = j-TECHNOMETRICS, volume = "48", number = "2", pages = "308--309", month = may, year = "2006", CODEN = "TCMTA2", DOI = "https://doi.org/10.2307/25471176", ISSN = "0040-1706 (print), 1537-2723 (electronic)", ISSN-L = "0040-1706", bibdate = "Sat Jun 21 13:21:10 MDT 2014", bibsource = "http://www.jstor.org/journals/00401706.html; http://www.jstor.org/stable/i25471152; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib", URL = "http://www.jstor.org/stable/25471176", acknowledgement = ack-nhfb, fjournal = "Technometrics", journal-URL = "http://www.jstor.org/journals/00401706.html", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:15 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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{Hankin:2006:IER, author = "Robin K. S. Hankin", title = "Introducing {\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:15 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstatsoft.org/v15/i07", abstract = "This paper introduces the {\tt 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", } @Article{Hardin:2006:IST, author = "Jo Hardin", title = "Introduction to Statistics Through Resampling Methods and {R\slash S-PLUS}", journal = j-AMER-STAT, volume = "60", number = "4", pages = "343--344", month = nov, year = "2006", CODEN = "ASTAAJ", DOI = "https://doi.org/10.1198/tas.2006.s61", ISSN = "0003-1305 (print), 1537-2731 (electronic)", ISSN-L = "0003-1305", bibdate = "Thu Aug 26 21:48:27 MDT 2010", bibsource = "http://www.amstat.org/publications/tas/; https://www.math.utah.edu/pub/tex/bib/amstat2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, fjournal = "The American Statistician", journal-URL = "http://www.tandfonline.com/loi/utas20", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:15 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Book{Jureckova:2006:RSM, author = "Jana Jure{\v{c}}kov{\'a} and Jan Picek", title = "Robust statistical methods with {R}", publisher = pub-CHAPMAN-HALL-CRC, address = pub-CHAPMAN-HALL-CRC:adr, pages = "xi + 193", year = "2006", ISBN = "1-58488-454-1", ISBN-13 = "978-1-58488-454-5", LCCN = "QA276 .J868 2006", bibdate = "Thu Jul 10 08:17:35 MDT 2014", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", URL = "http://www.loc.gov/catdir/enhancements/fy0646/2005053192-d.html", acknowledgement = ack-nhfb, author-dates = "1940--", subject = "Robust statistics; R (Computer program language); Statistical methods", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:15 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:15 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Lund:2006:BRB, author = "Ulric J. Lund", title = "Book Review: {{\booktitle{An R and S-Plus{\reg} Companion to Multivariate Analysis}}, by Brian S. Everitt}", journal = j-J-AM-STAT-ASSOC, volume = "101", number = "474", pages = "857--858", month = jun, year = "2006", CODEN = "JSTNAL", DOI = "https://doi.org/10.1198/jasa.2006.s114", ISSN = "0162-1459 (print), 1537-274X (electronic)", ISSN-L = "0162-1459", bibdate = "Wed Jan 25 08:06:33 MST 2012", bibsource = "http://www.amstat.org/publications/jasa/; http://www.jstor.org/journals/01621459.html; http://www.jstor.org/stable/i27590703; https://www.math.utah.edu/pub/tex/bib/jamstatassoc2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstor.org/stable/27590760", acknowledgement = ack-nhfb, fjournal = "Journal of the American Statistical Association", journal-URL = "http://www.tandfonline.com/loi/uasa20", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:15 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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{Marchetti:2006:IIG, author = "Giovanni M. Marchetti", title = "Independencies Induced from a Graphical {Markov} Model After Marginalization and Conditioning: The {R} Package {\tt ggm}", journal = j-J-STAT-SOFT, volume = "15", number = "6", pages = "1--15", month = feb, year = "2006", CODEN = "JSSOBK", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:15 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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 {\tt 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", } @Article{Mineo:2006:URP, author = "Angelo 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:15 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Book{Murrell:2006:RG, author = "Paul Murrell", title = "{R} Graphics", publisher = pub-CHAPMAN-HALL-CRC, address = pub-CHAPMAN-HALL-CRC:adr, pages = "xix + 301", year = "2006", ISBN = "1-4200-3502-9 (electronic), 0-8493-1622-7, 1-58488-486-X", ISBN-13 = "978-1-4200-3502-5 (electronic), 978-0-8493-1622-7, 978-1-58488-486-6", LCCN = "T385 .M9 2006", bibdate = "Sat Jun 13 09:30:24 MDT 2009", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; library.mit.edu:9909/mit01", series = "Computer science and data analysis series", URL = "http://www.netLibrary.com/urlapi.asp?action=summary&v=1&bookid=155642", acknowledgement = ack-nhfb, subject = "Computer graphics; R (Computer programming language)", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:15 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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{Ng:2006:BRB, author = "H. K. Tony Ng", title = "Book Review: {{\booktitle{Statistics: An Introduction Using R}} by Michael J. Crawley}", journal = j-TECHNOMETRICS, volume = "48", number = "2", pages = "308--308", month = may, year = "2006", CODEN = "TCMTA2", DOI = "https://doi.org/10.2307/25471175", ISSN = "0040-1706 (print), 1537-2723 (electronic)", ISSN-L = "0040-1706", bibdate = "Sat Jun 21 13:21:10 MDT 2014", bibsource = "http://www.jstor.org/journals/00401706.html; http://www.jstor.org/stable/i25471152; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib", URL = "http://www.jstor.org/stable/25471175", acknowledgement = ack-nhfb, fjournal = "Technometrics", journal-URL = "http://www.jstor.org/journals/00401706.html", } @Book{Paradis:2006:APE, author = "Emmanuel Paradis", title = "Analysis of phylogenetics and evolution with {R}", publisher = pub-SV, address = pub-SV:adr, pages = "xii + 211", year = "2006", ISBN = "0-387-32914-5 (paperback), 1-4614-1743-0 (e-book)", ISBN-13 = "978-0-387-32914-7 (paperback), 978-1-4614-1743-9 (e-book)", LCCN = "QH83 .P37 2006", bibdate = "Thu Jul 10 12:14:05 MDT 2014", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Use R!", URL = "http://www.loc.gov/catdir/enhancements/fy0824/2006923823-d.html; http://www.loc.gov/catdir/toc/fy0703/2006923823.html", abstract = "The increasing availability of molecular and genetic databases coupled with the growing power of computers gives biologists opportunities to address new issues, such as the patterns of molecular evolution, and re-assess old ones, such as the role of adaptation in species diversification. In the second edition, the book continues to integrate a wide variety of data analysis methods into a single and flexible interface: the R language. This open source language is available for a wide range of computer systems and has been adopted as a computational environment by many authors of statistical software. Adopting R as a main tool for phylogenetic analyses will ease the workflow in biologists' data analyses, ensure greater scientific repeatability, and enhance the exchange of ideas and methodological developments. The second edition is completed updated, covering the full gamut of R packages for this area that have been introduced to the market since its previous publication five years ago. There is also a new chapter on the simulation of evolutionary data. Graduate students and researchers in evolutionary biology can use this book as a reference for data analyses, whereas researchers in bioinformatics interested in evolutionary analyses will learn how to implement these methods in R. The book starts with a presentation of different R packages and gives a short introduction to R for phylogeneticists unfamiliar with this language. The basic phylogenetic topics are covered: manipulation of phylogenetic data, phylogeny estimation, tree drawing, phylogenetic comparative methods, and estimation of ancestral characters. The chapter on tree drawing uses R's powerful graphical environment. A section deals with the analysis of diversification with phylogenies, one of the author's favorite research topics. The last chapter is devoted to the development of phylogenetic methods with R and interfaces with other languages (C and C++). Some exercises conclude these chapters.", acknowledgement = ack-nhfb, subject = "Cladistic analysis; Phylogeny; Methodology; R (Computer program language)", tableofcontents = "Introduction \\ First Steps in R for Phylogeneticists \\ Phylogenetic Data in R \\ Plotting Phylogenies \\ Phylogeny Estimation \\ Analysis of Macroevolution with Phylogenies \\ Simulating Phylogenies and Evolutionary Data \\ Developing and Implementing Phylogenetic Methods in R \\ Short Course on Regular Expressions", } @Book{Pardoe:2006:ARM, author = "Iain Pardoe", title = "Applied regression modeling: a business approach", publisher = pub-WILEY-INTERSCIENCE, address = pub-WILEY-INTERSCIENCE:adr, pages = "xx + 303", year = "2006", ISBN = "0-471-97033-6", ISBN-13 = "978-0-471-97033-0", LCCN = "QA278.2 .P363 2006", bibdate = "Wed Sep 15 09:43:21 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", URL = "http://www.loc.gov/catdir/enhancements/fy0741/2006044262-b.html; http://www.loc.gov/catdir/enhancements/fy0741/2006044262-d.html; http://www.loc.gov/catdir/toc/fy0702/2006044262.html; http://www.wiley.com/WileyCDA/WileyTitle/productCd-0471970336.html", acknowledgement = ack-nhfb, keywords = "Minitab; R/S-Plus; SAS; SPSS", subject = "regression analysis; statistics", } @Book{Pfaff:2006:AIC, author = "Bernhard Pfaff", title = "Analysis of integrated and cointegrated time series with {R}", publisher = pub-SV, address = pub-SV:adr, pages = "xi + 139", year = "2006", ISBN = "0-387-27959-8, 0-387-27960-1 (e-book)", ISBN-13 = "978-0-387-27959-6, 978-0-387-27960-2 (e-book)", LCCN = "QA280 .P45 2006", bibdate = "Thu Jul 10 08:36:02 MDT 2014", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Use R!", URL = "http://www.loc.gov/catdir/enhancements/fy0663/2005935027-d.html; http://www.loc.gov/catdir/toc/fy0610/2005935027.html", acknowledgement = ack-nhfb, subject = "Time-series analysis; Computer programs; R (Computer program language)", } @Article{Putt:2006:BRL, author = "Mary E. Putt", title = "Book Review: 2. {{\booktitle{Linear models with R}}. Julian J. Faraway, Chapman and Hall\slash CRC, Boca Raton, 2005. No of pages: x + 229. Price: \$69.95. ISBN: 1-58488-425-8}", journal = j-STAT-MED, volume = "25", number = "8", pages = "1440--1441", day = "30", month = apr, year = "2006", CODEN = "SMEDDA", DOI = "https://doi.org/10.1002/sim.2286", ISSN = "0277-6715 (print), 1097-0258 (electronic)", ISSN-L = "0277-6715", bibdate = "Sat Jun 27 15:46:49 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/statmed2000.bib", acknowledgement = ack-nhfb, ajournal = "Stat. Med.", fjournal = "Statistics in Medicine", journal-URL = "https://onlinelibrary.wiley.com/journal/10970258", onlinedate = "29 March 2006", } @Article{Rizopoulos:2006:LRP, author = "Dimitris Rizopoulos", title = "{\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:15 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstatsoft.org/v17/i05", abstract = "The R package {\tt 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", } @TechReport{Sartori:2006:SRL, author = "Nicola Sartori", title = "{Sweave $=$ R $ \cdot $ {\LaTeX}$^2$}", type = "Technical report", institution = "Universit{\`a} ``Ca' Foscari'' Venezia", address = "Venice, Italy", pages = "17", day = "23", month = nov, year = "2006", bibdate = "Sat Jul 5 19:11:39 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/litprog.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://stat.epfl.ch/webdav/site/stat/shared/Regression/EPFL-Sweave-powerdot.pdf", acknowledgement = ack-nhfb, } @Article{Sauerbrei:2006:MRM, author = "W. Sauerbrei and C. Meier-Hirmer and A. Benner and P. Royston", title = "Multivariable regression model building by using fractional polynomials: Description of {SAS}, {STATA} and {R} programs", journal = j-COMPUT-STAT-DATA-ANAL, volume = "50", number = "12", pages = "3464--3485", month = aug, year = "2006", CODEN = "CSDADW", ISSN = "0167-9473 (print), 1872-7352 (electronic)", ISSN-L = "0167-9473", bibdate = "Fri Feb 6 11:41:44 MST 2015", bibsource = "https://www.math.utah.edu/pub/tex/bib/computstatdataanal2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/sas.bib", URL = "http://www.sciencedirect.com/science/article/pii/S0167947305001623", acknowledgement = ack-nhfb, fjournal = "Computational Statistics \& Data Analysis", journal-URL = "http://www.sciencedirect.com/science/journal/01679473", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:15 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Book{Shumway:2006:TSA, author = "Robert H. Shumway and David S. Stoffer", title = "Time series analysis and its applications: with {R} examples", publisher = pub-SV, address = pub-SV:adr, edition = "Second", pages = "xiii + 575", year = "2006", ISBN = "0-387-29317-5 (hardcover)", ISBN-13 = "978-0-387-29317-2 (hardcover)", LCCN = "QA280 .S585 2006", bibdate = "Sat Jun 13 09:46:46 MDT 2009", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Springer texts in statistics", URL = "http://www.loc.gov/catdir/enhancements/fy0663/2005935284-d.html; http://www.loc.gov/catdir/toc/fy0704/2005935284.html", acknowledgement = ack-nhfb, subject = "Time-series analysis", tableofcontents = "1. Characteristics of time series \\ 2. Time series regression and exploratory data analysis \\ 3. ARIMA models \\ 4. Spectral analysis and filtering \\ 5. Additional time domain topics \\ 6. State-space models \\ 7. Statistical methods in the frequency domain \\ App. A. Large sample theory \\ App. B. Time domain theory \\ App. C. Spectral domain theory", } @Article{Smith:2006:BRB, author = "Eric P. Smith", title = "Book Review: {{\booktitle{Using R for Introductory Statistics}} by John Verzani}", journal = j-TECHNOMETRICS, volume = "48", number = "2", pages = "307--308", month = may, year = "2006", CODEN = "TCMTA2", DOI = "https://doi.org/10.2307/25471174", ISSN = "0040-1706 (print), 1537-2723 (electronic)", ISSN-L = "0040-1706", bibdate = "Sat Jun 21 13:21:10 MDT 2014", bibsource = "http://www.jstor.org/journals/00401706.html; http://www.jstor.org/stable/i25471152; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib", URL = "http://www.jstor.org/stable/25471174", acknowledgement = ack-nhfb, fjournal = "Technometrics", journal-URL = "http://www.jstor.org/journals/00401706.html", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:15 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Wang:2006:BRE, author = "Haiyan Wang", title = "Book Review: {{\booktitle{Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models}}, Edited by Faraway J. J.}", journal = j-BIOMETRICS, volume = "62", number = "4", pages = "1278--1278", month = dec, year = "2006", CODEN = "BIOMB6", DOI = "https://doi.org/10.1111/j.1541-0420.2006.00596_12.x", ISSN = "0006-341X (print), 1541-0420 (electronic)", ISSN-L = "0006-341X", bibdate = "Thu Jun 25 10:48:10 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, ajournal = "Biometrics", fjournal = "Biometrics", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420", onlinedate = "06 December 2006", } @Book{Wood:2006:GAM, author = "Simon N. Wood", title = "Generalized Additive Models: an Introduction with {R}", publisher = pub-CHAPMAN-HALL-CRC, address = pub-CHAPMAN-HALL-CRC:adr, pages = "xvii + 391", year = "2006", ISBN = "1-58488-474-6", ISBN-13 = "978-1-58488-474-3", LCCN = "QA274.73 .W66 2006", bibdate = "Thu Jul 10 08:21:40 MDT 2014", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Texts in statistical science", URL = "http://www.loc.gov/catdir/enhancements/fy0702/2006040209-d.html", acknowledgement = ack-nhfb, subject = "Random walks (Mathematics); Linear models (Statistics); R (Computer program language); Mathematical models", tableofcontents = "Linear models \\ Generalized linear models \\ Introducing GAM's \\ Some GAM theory \\ GAMs in practice: mgcv \\ Mixed models and GAMMs", } @Book{Albert:2007:BCR, author = "Jim Albert", title = "{Bayesian} computation with {R}", publisher = pub-SV, address = pub-SV:adr, pages = "x + 267", year = "2007", ISBN = "0-387-71384-0 (paperback)", ISBN-13 = "978-0-387-71384-7 (paperback)", LCCN = "QA279.5 .A53 2007", bibdate = "Fri Aug 25 06:22:16 MDT 2017", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Use R", URL = "http://www.loc.gov/catdir/enhancements/fy0824/2007929182-d.html; http://www.loc.gov/catdir/enhancements/fy0824/2007929182-t.html", acknowledgement = ack-nhfb, author-dates = "1953--", subject = "Bayesian statistical decision theory; Data processing; R (Computer program language)", } @Article{Anderson-Cook:2007:BRBb, author = "Christine M. Anderson-Cook", title = "Book review: {{\booktitle{Generalized Additive Models: An Introduction With R}}}", journal = j-J-AM-STAT-ASSOC, volume = "102", number = "478", pages = "760--761", month = jun, year = "2007", CODEN = "JSTNAL", DOI = "https://doi.org/10.1198/jasa.2007.s188", ISSN = "0162-1459 (print), 1537-274X (electronic)", ISSN-L = "0162-1459", bibdate = "Thu Aug 26 11:26:31 MDT 2010", bibsource = "http://www.amstat.org/publications/jasa/; https://www.math.utah.edu/pub/tex/bib/jamstatassoc2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, fjournal = "Journal of the American Statistical Association", journal-URL = "http://www.tandfonline.com/loi/uasa20", } @Article{Atman:2007:ATA, author = "Micah Atman and Jeff Gill and Michael P. McDonald", title = "{\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:16 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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 {\tt 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 {\tt 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", } @Article{Baier:2007:ECR, author = "Thomas Baier and Erich Neuwirth", title = "{Excel :: COM :: {\sf R}}", journal = j-COMP-STAT, volume = "22", number = "1", pages = "91--108", month = apr, year = "2007", CODEN = "CSTAEB", DOI = "https://doi.org/10.1007/s00180-007-0023-6", ISSN = "0943-4062 (print), 1613-9658 (electronic)", ISSN-L = "0943-4062", bibdate = "Thu Jun 18 16:19:34 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://link.springer.com/article/10.1007/s00180-007-0023-6", acknowledgement = ack-nhfb, ajournal = "Comp. Stat.", fjournal = "Computational Statistics", journal-URL = "http://link.springer.com/journal/180", } @Article{Baillargeon:2007:RLM, author = "Sophie Baillargeon and Louis-Paul Rivest", title = "{{\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:15 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstatsoft.org/v19/i05", abstract = "This article introduces {\tt 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. {\tt 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. {\tt 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. {\tt Rcapture} can fit the basic Cormack-Jolly-Seber and Jolly-Seber model to such data. The third type of models fitted by {\tt 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 {\tt Rcapture} have a loglinear form; they are fitted by carrying out a Poisson regression with the R function {\tt 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", } @Book{Bartoszynski:2007:PSI, author = "Robert Bartoszy{\'n}ski and Magdalena Niewiadomska-Bugaj", title = "Probability and statistical inference", publisher = pub-WILEY-INTERSCIENCE, address = pub-WILEY-INTERSCIENCE:adr, edition = "Second", pages = "xii + 647", year = "2007", ISBN = "0-470-19158-9 (e-book)", ISBN-13 = "978-0-470-19158-3 (e-book)", LCCN = "QA273 .B2584 2007", bibdate = "Wed Sep 15 09:42:15 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", URL = "http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470191589.html", acknowledgement = ack-nhfb, remark = "Previous edition \cite{Bartoszynski:1996:PSI}.", subject = "probabilities; mathematical statistics", tableofcontents = "Preface \\ 1. Experiments, Sample Spaces, and Events \\ 2. Probability \\ 3. Counting \\ 4. Conditional Probability; Independence \\ 5. Markov Chains \\ 6. Random Variables: Univariate Case \\ 7. Random Variables: Multivariate Case \\ 8. Expectation \\ 9. Selected Families of Distributions \\ 10. Random Samples \\ 11. Introduction to Statistical Inference \\ 12. Estimation \\ 13. Testing Statistical Hypotheses \\ 14. Linear Models \\ 15. Rank Methods \\ 16. Analysis of Categorical Data \\ Statistical Tables \\ Bibliography \\ Answers to Odd-Numbered Problems \\ Index", } @Article{Bowman:2007:RSI, author = "Adrian Bowman and Ewan Crawford and Gavin Alexander and Richard W. Bowman", title = "{\tt rpanel}: Simple Interactive Controls for {R} Functions Using the {\tt tcltk} Package", journal = j-J-STAT-SOFT, volume = "17", number = "9", pages = "1--18", month = jan, year = "2007", CODEN = "JSSOBK", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:15 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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 {\tt tcltk} package provides extensive tools for this and the aim of the {\tt 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 {\tt 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 {\tt 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", } @Book{Braun:2007:FCS, author = "John Braun and Duncan James Murdoch", title = "A first course in statistical programming with {R}", publisher = pub-CAMBRIDGE, address = pub-CAMBRIDGE:adr, pages = "x + 163", year = "2007", ISBN = "0-521-87265-0 (hardcover), 0-521-69424-8 (paperback)", ISBN-13 = "978-0-521-87265-2 (hardcover), 978-0-521-69424-7 (paperback)", LCCN = "QA276.45.R3 B73 2007", bibdate = "Thu Jul 10 08:40:36 MDT 2014", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", URL = "http://www.loc.gov/catdir/enhancements/fy0827/2008295814-b.html; http://www.loc.gov/catdir/enhancements/fy0827/2008295814-d.html; http://www.loc.gov/catdir/enhancements/fy0827/2008295814-t.html", acknowledgement = ack-nhfb, author-dates = "1963--", subject = "R (Computer program language); Statistics; Data processing", tableofcontents = "1. Getting started \\ 2. Introduction to the R language \\ 3. Programming statistical graphics \\ 4. Programming with R \\ 5. Simulation \\ 6. Computational linear algebra \\ 7. Numerical optimization \\ Appendix. Review of random variables and distributions \\ Index", } @Article{Brooms:2007:BRB, author = "A. C. Brooms", title = "Book Review: {{\booktitle{The Basics of S-PLUS}}, by A. Krause; M. Olson}", journal = j-J-R-STAT-SOC-SER-A-STAT-SOC, volume = "170", number = "1", pages = "256--257", month = jan, year = "2007", CODEN = "JSSAEF", DOI = "https://doi.org/10.1111/j.1467-985X.2006.00455_8.x; https://doi.org/10.2307/4623151", ISSN = "0964-1998 (print), 1467-985X (electronic)", ISSN-L = "0964-1998", bibdate = "Mon Jan 26 13:24:14 MST 2015", bibsource = "http://www.jstor.org/stable/i411951; https://www.math.utah.edu/pub/tex/bib/jrss-a-2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstor.org/stable/4623151", acknowledgement = ack-nhfb, fjournal = "Journal of the Royal Statistical Society. Series A (Statistics in Society)", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-985X; http://www.jstor.org/journals/09641998.html", onlinedate = "21 Dec 2006", } @Article{Burr:2007:BRB, author = "Thomas L. Burr", title = "Book Review: {{\booktitle{Modeling Financial Time Series with S-Plus}} by Eric Zivot; Jiahui Wang}", journal = j-TECHNOMETRICS, volume = "49", number = "1", pages = "105--106", month = feb, year = "2007", CODEN = "TCMTA2", DOI = "https://doi.org/10.2307/25471290", ISSN = "0040-1706 (print), 1537-2723 (electronic)", ISSN-L = "0040-1706", bibdate = "Sat Jun 21 13:21:15 MDT 2014", bibsource = "http://www.jstor.org/journals/00401706.html; http://www.jstor.org/stable/i25471268; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib", URL = "http://www.jstor.org/stable/25471290", acknowledgement = ack-nhfb, fjournal = "Technometrics", journal-URL = "http://www.jstor.org/journals/00401706.html", } @Article{Chiang:2007:BRB, author = "Alan Y. Chiang", title = "Book Review: {{\booktitle{Generalized Additive Models: An Introduction with R}} by Simon N. Wood}", journal = j-TECHNOMETRICS, volume = "49", number = "3", pages = "360--361", month = aug, year = "2007", CODEN = "TCMTA2", DOI = "https://doi.org/10.2307/25471358", ISSN = "0040-1706 (print), 1537-2723 (electronic)", ISSN-L = "0040-1706", bibdate = "Sat Jun 21 13:21:17 MDT 2014", bibsource = "http://www.jstor.org/journals/00401706.html; http://www.jstor.org/stable/i25471341; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib", URL = "http://www.jstor.org/stable/25471358", acknowledgement = ack-nhfb, fjournal = "Technometrics", journal-URL = "http://www.jstor.org/journals/00401706.html", } @Book{Cook:2007:IDG, author = "Dianne Cook and Deborah F. Swayne", title = "Interactive and Dynamic Graphics for Data Analysis: with {R} and {GGobi}", publisher = pub-SV, address = pub-SV:adr, pages = "vii + 188", year = "2007", ISBN = "0-387-71761-7", ISBN-13 = "978-0-387-71761-6", LCCN = "QA276.3 .C66 2007", bibdate = "Sat Jun 13 09:46:41 MDT 2009", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Use R!", URL = "http://www.loc.gov/catdir/enhancements/fy0825/2007925720-d.html; http://www.loc.gov/catdir/enhancements/fy0825/2007925720-t.html", acknowledgement = ack-nhfb, remark = "Possible additional authors (absent from cover): Andreas Buja and D. Temple Lang and H. Hofmann and H. Wickham and M. Lawrence", subject = "graphic methods; computer graphics; statistics; visualization; congresses; R (Computer program language)", tableofcontents = "1. Introduction \\ 2. The Toolbox \\ 3. Missing Values \\ 4. Supervised Classification \\ 5. Cluster Analysis \\ 6. Miscellaneous Topics \\ 7. Datasets", } @Book{Crawley:2007:RB, author = "Michael J. Crawley", title = "The {R} book", publisher = pub-WILEY, address = pub-WILEY:adr, pages = "viii + 942", year = "2007", ISBN = "0-470-51024-2, 0-470-51506-6 (e-book)", ISBN-13 = "978-0-470-51024-7, 978-0-470-51506-8 (e-book)", LCCN = "QA276.45.R3 C73 2007", bibdate = "Sat Jun 13 08:44:02 MDT 2009", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", URL = "http://www.loc.gov/catdir/enhancements/fy0741/2007296951-b.html; http://www.loc.gov/catdir/enhancements/fy0741/2007296951-d.html; http://www.loc.gov/catdir/toc/fy0713/2007296951.html; http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470515066.html", acknowledgement = ack-nhfb, subject = "R (computer programming language); mathematical statistics; data processing", } @Article{Davis:2007:BRBa, author = "J. Wade Davis", title = "Book review: {{\booktitle{Bioinformatics and Computational Biology Solutions Using R and Bioconductor}}}", journal = j-J-AM-STAT-ASSOC, volume = "102", number = "477", pages = "388--389", month = mar, year = "2007", CODEN = "JSTNAL", DOI = "https://doi.org/10.1198/jasa.2007.s179", ISSN = "0162-1459 (print), 1537-274X (electronic)", ISSN-L = "0162-1459", bibdate = "Thu Aug 26 11:26:31 MDT 2010", bibsource = "http://www.amstat.org/publications/jasa/; https://www.math.utah.edu/pub/tex/bib/jamstatassoc2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, fjournal = "Journal of the American Statistical Association", journal-URL = "http://www.tandfonline.com/loi/uasa20", } @Article{Duong:2007:KKD, author = "Tarn Duong", title = "{\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:16 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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 {\tt 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", } @Article{Erdman:2007:BRP, author = "Chandra Erdman and John W. Emerson", title = "{\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:16 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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, {\tt 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 {\tt 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", } @Article{Finley:2007:SRP, author = "Andrew O. Finley and Sudipto Banerjee and Bradley P. Carlin", title = "{{\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:15 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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, {\tt 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", } @Article{Fotopoulos:2007:BRBb, author = "Stergios B. Fotopoulos", title = "Book Review: {{\booktitle{Modeling Financial Time Series with S-PLUS}} by Eric Zivot; Jiahui Wang}", journal = j-TECHNOMETRICS, volume = "49", number = "3", pages = "360--360", month = aug, year = "2007", CODEN = "TCMTA2", DOI = "https://doi.org/10.2307/25471357", ISSN = "0040-1706 (print), 1537-2723 (electronic)", ISSN-L = "0040-1706", bibdate = "Sat Jun 21 13:21:17 MDT 2014", bibsource = "http://www.jstor.org/journals/00401706.html; http://www.jstor.org/stable/i25471341; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib", URL = "http://www.jstor.org/stable/25471357", acknowledgement = ack-nhfb, fjournal = "Technometrics", journal-URL = "http://www.jstor.org/journals/00401706.html", } @Article{Gramacy:2007:TRP, author = "Robert B. Gramacy", title = "{\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:15 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstatsoft.org/v19/i09", abstract = "The {\tt 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 {\tt 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", } @Article{Grun:2007:FFM, author = "Bettina Gr{\"u}n and Friedrich Leisch", title = "Fitting finite mixtures of generalized linear regressions in {R}", journal = j-COMPUT-STAT-DATA-ANAL, volume = "51", number = "11", pages = "5247--5252", day = "15", month = jul, year = "2007", CODEN = "CSDADW", ISSN = "0167-9473 (print), 1872-7352 (electronic)", ISSN-L = "0167-9473", bibdate = "Fri Feb 6 11:41:55 MST 2015", bibsource = "https://www.math.utah.edu/pub/tex/bib/computstatdataanal2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.sciencedirect.com/science/article/pii/S0167947306002787", acknowledgement = ack-nhfb, fjournal = "Computational Statistics \& Data Analysis", journal-URL = "http://www.sciencedirect.com/science/journal/01679473", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:15 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:16 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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{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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:15 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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{Hankin:2007:IUR, author = "Robin K. S. Hankin", title = "Introducing {\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:16 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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: all 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 {\tt 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", } @Article{Harvill:2007:BRB, author = "Jane L. Harvill", title = "Book review: {{\booktitle{Analysis of Integrated and Co-Integrated Time Series With R}}}", journal = j-J-AM-STAT-ASSOC, volume = "102", number = "477", pages = "389--390", month = mar, year = "2007", CODEN = "JSTNAL", DOI = "https://doi.org/10.1198/jasa.2007.s181", ISSN = "0162-1459 (print), 1537-274X (electronic)", ISSN-L = "0162-1459", bibdate = "Thu Aug 26 11:26:31 MDT 2010", bibsource = "http://www.amstat.org/publications/jasa/; https://www.math.utah.edu/pub/tex/bib/jamstatassoc2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, fjournal = "Journal of the American Statistical Association", journal-URL = "http://www.tandfonline.com/loi/uasa20", } @Article{Heckler:2007:BRB, author = "Charles E. Heckler", title = "Book Review: {{\booktitle{Correspondence Analysis and Data Coding with Java and R}} by Fionn Murtagh}", journal = j-TECHNOMETRICS, volume = "49", number = "1", pages = "100--100", month = feb, year = "2007", CODEN = "TCMTA2", DOI = "https://doi.org/10.2307/25471279", ISSN = "0040-1706 (print), 1537-2723 (electronic)", ISSN-L = "0040-1706", bibdate = "Sat Jun 21 13:21:15 MDT 2014", bibsource = "http://www.jstor.org/journals/00401706.html; http://www.jstor.org/stable/i25471268; https://www.math.utah.edu/pub/tex/bib/java2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib", URL = "http://www.jstor.org/stable/25471279", acknowledgement = ack-nhfb, fjournal = "Technometrics", journal-URL = "http://www.jstor.org/journals/00401706.html", } @Article{Henningsen:2007:SPE, author = "Arne Henningsen and Jeff D. Hamann", title = "{\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:16 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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 {\tt 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 {\tt 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", } @Article{Hohle:2007:RPM, author = "Michael H{\"o}hle", title = "\pkg{surveillance}: an {R} package for the monitoring of infectious diseases", journal = j-COMP-STAT, volume = "22", number = "4", pages = "571--582", month = dec, year = "2007", CODEN = "CSTAEB", DOI = "https://doi.org/10.1007/s00180-007-0074-8", ISSN = "0943-4062 (print), 1613-9658 (electronic)", ISSN-L = "0943-4062", bibdate = "Thu Jun 18 16:19:35 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://link.springer.com/article/10.1007/s00180-007-0074-8", acknowledgement = ack-nhfb, ajournal = "Comp. Stat.", fjournal = "Computational Statistics", journal-URL = "http://link.springer.com/journal/180", } @Article{Hohle:2007:RRP, author = "Michael H{\"o}hle and Ulrike Feldmann", title = "{RLadyBug} --- an {R} package for stochastic epidemic models", journal = j-COMPUT-STAT-DATA-ANAL, volume = "52", number = "2", pages = "680--686", day = "15", month = oct, year = "2007", CODEN = "CSDADW", ISSN = "0167-9473 (print), 1872-7352 (electronic)", ISSN-L = "0167-9473", bibdate = "Fri Feb 6 11:42:19 MST 2015", bibsource = "https://www.math.utah.edu/pub/tex/bib/computstatdataanal2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.sciencedirect.com/science/article/pii/S0167947306004221", acknowledgement = ack-nhfb, fjournal = "Computational Statistics \& Data Analysis", journal-URL = "http://www.sciencedirect.com/science/journal/01679473", } @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 {{\tt gRc}} Package for {R}", journal = j-J-STAT-SOFT, volume = "23", number = "6", pages = "1--26", month = dec, year = "2007", CODEN = "JSSOBK", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:16 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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 {\tt 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 {\tt 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", } @Article{Houseman:2007:BRU, author = "E. Andres Houseman", title = "Book Review: {{\booktitle{Using R for introductory statistics}}. John Verzani, Chapman and Hall\slash CRC, Boca Raton, FL, 2005. No. of pages: xvi + 414. Price: \$44.95. ISBN 1-58488-450-9}", journal = j-STAT-MED, volume = "26", number = "11", pages = "2431--2432", day = "20", month = may, year = "2007", CODEN = "SMEDDA", DOI = "https://doi.org/10.1002/sim.2735", ISSN = "0277-6715 (print), 1097-0258 (electronic)", ISSN-L = "0277-6715", bibdate = "Sat Jun 27 15:47:00 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/statmed2000.bib", acknowledgement = ack-nhfb, ajournal = "Stat. Med.", fjournal = "Statistics in Medicine", journal-URL = "https://onlinelibrary.wiley.com/journal/10970258", onlinedate = "05 April 2007", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:16 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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 {\tt 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", } @Article{Jones:2007:DPC, author = "James Holland Jones", title = "{{\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:16 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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 {\tt 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, {\tt 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 {\tt 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", } @Article{Kirchner:2007:ARP, author = "Marc Kirchner and Benjamin Saussen and Hanno Steen and Judith A. J. Steen and Fred A. Hamprecht", title = "{\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:15 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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 {\tt 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", } @Article{Krastev:2007:SSS, author = "Theodor Krastev", title = "{\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:15 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstatsoft.org/v18/i10", abstract = "{\tt 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. {\tt 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 {\tt 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{Kumar:2007:BRB, author = "Kuldeep Kumar", title = "Book Review: {{\booktitle{Modelling Financial Time Series with S-PLUS}}, by E. Zivot; J. Wang}", journal = j-J-R-STAT-SOC-SER-A-STAT-SOC, volume = "170", number = "4", pages = "1189--1190", month = oct, year = "2007", CODEN = "JSSAEF", DOI = "https://doi.org/10.1111/j.1467-985X.2007.00506_20.x; https://doi.org/10.2307/4623247", ISSN = "0964-1998 (print), 1467-985X (electronic)", ISSN-L = "0964-1998", bibdate = "Mon Jan 26 13:24:14 MST 2015", bibsource = "http://www.jstor.org/stable/i411947; https://www.math.utah.edu/pub/tex/bib/jrss-a-2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstor.org/stable/4623247", acknowledgement = ack-nhfb, fjournal = "Journal of the Royal Statistical Society. Series A (Statistics in Society)", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-985X; http://www.jstor.org/journals/09641998.html", onlinedate = "26 Sep 2007", } @Article{Lund:2007:BRBa, author = "Ulric J. Lund", title = "Book Review: {{\booktitle{A Handbook of Statistical Analyses Using R}}}", journal = j-AMER-STAT, volume = "61", number = "3", pages = "277--278", month = aug, year = "2007", CODEN = "ASTAAJ", DOI = "https://doi.org/10.1198/tas.2007.s93", ISSN = "0003-1305 (print), 1537-2731 (electronic)", ISSN-L = "0003-1305", bibdate = "Thu Aug 26 21:48:27 MDT 2010", bibsource = "http://www.amstat.org/publications/tas/; https://www.math.utah.edu/pub/tex/bib/amstat2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, fjournal = "The American Statistician", journal-URL = "http://www.tandfonline.com/loi/utas20", } @Article{Lund:2007:BRBb, author = "Robert Lund", title = "Book review: {{\booktitle{Time Series Analysis and Its Applications: With R Examples}}}", journal = j-J-AM-STAT-ASSOC, volume = "102", number = "479", pages = "1079--1079", month = sep, year = "2007", CODEN = "JSTNAL", DOI = "https://doi.org/10.1198/jasa.2007.s209", ISSN = "0162-1459 (print), 1537-274X (electronic)", ISSN-L = "0162-1459", bibdate = "Thu Aug 26 11:26:31 MDT 2010", bibsource = "http://www.amstat.org/publications/jasa/; https://www.math.utah.edu/pub/tex/bib/jamstatassoc2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, fjournal = "Journal of the American Statistical Association", journal-URL = "http://www.tandfonline.com/loi/uasa20", } @Article{Machler:2007:SIU, author = "Martin M{\"a}chler", title = "Statistics: An Introduction using {R}", journal = j-AMER-STAT, volume = "61", number = "1", pages = "100--101", month = feb, year = "2007", CODEN = "ASTAAJ", DOI = "https://doi.org/10.1198/tas.2007.s73", ISSN = "0003-1305 (print), 1537-2731 (electronic)", ISSN-L = "0003-1305", bibdate = "Thu Aug 26 21:48:27 MDT 2010", bibsource = "http://www.amstat.org/publications/tas/; https://www.math.utah.edu/pub/tex/bib/amstat2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, fjournal = "The American Statistician", journal-URL = "http://www.tandfonline.com/loi/utas20", } @Article{Mair:2007:ERM, author = "Patrick Mair and Reinhold Hatzinger", title = "Extended {Rasch} Modeling: The {{\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:16 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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 {\tt 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 {\tt 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", } @Book{MarquesdeSa:2007:ASU, author = "Joaquim P. {Marques de S{\'a}}", title = "Applied Statistics Using {SPSS}, {STATISTICA}, {MATLAB} and {R}", publisher = pub-SV, address = pub-SV:adr, pages = "xxiv + 506 + 196", year = "2007", DOI = "https://doi.org/10.1007/978-3-540-71972-4", ISBN = "3-540-71972-5", ISBN-13 = "978-3-540-71972-4", LCCN = "QA276.4 S2232 2007", bibdate = "Wed Jul 9 10:26:08 MDT 2014", bibsource = "fsz3950.oclc.org:210/WorldCat; https://www.math.utah.edu/pub/tex/bib/matlab.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/spss.bib", abstract = "This successful textbook is intended for students, professionals and research workers who need to apply statistical analysis to a large variety of practical problems using SPSS, MATLAB, STATISTICA and R. The book provides a comprehensive coverage of the main statistical analysis topics important for practical applications such as data description, statistical inference, classification and regression, factor analysis, survival data and directional statistics. The relevant notions and methods are explained concisely, illustrated with practical examples using real data, presented with the distinct intention of clarifying sensible practical issues. The solutions presented in the examples are obtained with one of the software packages in a pedagogical way. It provides guidance on how to use SPSS, MATLAB, STATISTICA and R in statistical analysis applications without having to delve in the manuals. Major improvements of the second edition are the inclusion of the R language as one of the application tools, a new section on bootstrap estimation methods, a revised explanation and treatment of tree classifiers as well as extra examples and exercises.", acknowledgement = ack-nhfb, subject = "Statistics; Engineering mathematics; Statistics for Engineering, Physics, Computer Science, Chemistry and Geosciences; Numerical and Computational Methods in Engineering; Systems and Information Theory in Engineering; Appl.Mathematics/Computational Methods of Engineering", tableofcontents = "Introduction \\ Presenting and Summarising the Data \\ Estimating Data Parameters \\ Parametric Tests of Hypotheses \\ Non-Parametric Tests of Hypotheses \\ Statistical Classification \\ Data Regression \\ Data Structure Analysis \\ Survival Analysis \\ Directional Data \\ Appendix A \\ Short Survey on Probability Theory \\ Appendix B \\ Distributions \\ Appendix C \\ Point Estimation \\ Appendix D \\ Tables \\ Appendix E \\ Datasets \\ Appendix F \\ Tools", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:16 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstatsoft.org/v23/i05", abstract = "Our {\tt 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 {\tt ltsa} package with fractional Gaussian noise (FGN). It is hoped that the {\tt 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 {\tt ltsa}.", } @Article{Mevik:2007:PPP, author = "Bj{\"o}rn-Helge Mevik and Ron Wehrens", title = "The {\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:15 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstatsoft.org/v18/i02", abstract = "The {\tt 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 {\tt 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", } @Article{Mullen:2007:FRP, author = "Katharine M. Mullen and Ivo H. M. van Stokkum and Thomas W. Binsl 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:15 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:15 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Olive:2007:BRB, author = "David J. Olive", title = "Book Review: {{\booktitle{Robust Statistical Methods with R}} by J. {Jure{\"a} ov{\'a};} J. Picek}", journal = j-TECHNOMETRICS, volume = "49", number = "4", pages = "496--496", month = nov, year = "2007", CODEN = "TCMTA2", DOI = "https://doi.org/10.2307/25471404", ISSN = "0040-1706 (print), 1537-2723 (electronic)", ISSN-L = "0040-1706", bibdate = "Sat Jun 21 13:21:19 MDT 2014", bibsource = "http://www.jstor.org/journals/00401706.html; http://www.jstor.org/stable/i25471379; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib", URL = "http://www.jstor.org/stable/25471404", acknowledgement = ack-nhfb, fjournal = "Technometrics", journal-URL = "http://www.jstor.org/journals/00401706.html", } @Article{Petzoldt:2007:SOO, author = "Thomas Petzoldt and Karsten Rinke", title = "{\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:16 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstatsoft.org/v22/i09", abstract = "The {\tt 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 {\tt simecol}-models freely extendible and simple to use. The {\tt 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 {\tt 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 {\tt 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", } @Article{Polzehl:2007:ASD, author = "Joerg Polzehl and Karsten Tabelow", title = "Adaptive Smoothing of Digital Images: The {R} Package {\tt adimpro}", journal = j-J-STAT-SOFT, volume = "19", number = "1", pages = "1--17", month = mar, year = "2007", CODEN = "JSSOBK", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:15 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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 {\tt 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", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:15 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Robinson:2007:BRG, author = "Andrew Robinson", title = "Book Review: {{\booktitle{Generalized Additive Models: an Introduction in R}}, by Simon N. Wood}", journal = j-ANZJS, volume = "49", number = "4", pages = "455--456", month = dec, year = "2007", CODEN = "????", DOI = "https://doi.org/10.1111/j.1467-842X.2007.00490.x", ISSN = "1369-1473 (print), 1467-842X (electronic)", ISSN-L = "1369-1473", bibdate = "Fri Jul 15 14:29:51 MDT 2016", bibsource = "https://www.math.utah.edu/pub/tex/bib/anzjs.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, fjournal = "Australian \& New Zealand Journal of Statistics", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-842X/issues", } @Article{Romero:2007:IST, author = "Mart{\'\i}n Romero", title = "Introduction to statistics through resampling methods and {R\slash S-Plus}", journal = j-BULL-MATH-BIOL, volume = "69", number = "2", pages = "795--796", month = feb, year = "2007", CODEN = "BMTBAP", DOI = "https://doi.org/10.1007/s11538-006-9120-x", ISSN = "0092-8240 (print), 1522-9602 (electronic)", ISSN-L = "0092-8240", bibdate = "Thu Jun 29 15:21:39 MDT 2017", bibsource = "https://www.math.utah.edu/pub/tex/bib/bullmathbiol.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://link.springer.com/article/10.1007/s11538-006-9120-x; http://link.springer.com/content/pdf/10.1007/s11538-006-9120-x.pdf", acknowledgement = ack-nhfb, fjournal = "Bulletin of Mathematical Biology", journal-URL = "http://link.springer.com/journal/11538", } @Article{Rosenthal:2007:ARI, author = "Jeffrey S. Rosenthal", title = "{AMCMC}: an {R} interface for adaptive {MCMC}", journal = j-COMPUT-STAT-DATA-ANAL, volume = "51", number = "12", pages = "5467--5470", day = "15", month = aug, year = "2007", CODEN = "CSDADW", ISSN = "0167-9473 (print), 1872-7352 (electronic)", ISSN-L = "0167-9473", bibdate = "Fri Feb 6 11:41:56 MST 2015", bibsource = "https://www.math.utah.edu/pub/tex/bib/computstatdataanal2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.sciencedirect.com/science/article/pii/S0167947307000916", acknowledgement = ack-nhfb, fjournal = "Computational Statistics \& Data Analysis", journal-URL = "http://www.sciencedirect.com/science/journal/01679473", } @Article{Rossini:2007:SPS, author = "A. J. Rossini and Luke Tierney and Na Li", title = "Simple Parallel Statistical Computing in {R}", journal = j-J-COMPUT-GRAPH-STAT, volume = "16", number = "2", pages = "399--420", month = jun, year = "2007", CODEN = "????", DOI = "https://doi.org/10.1198/106186007X178979", ISSN = "1061-8600 (print), 1537-2715 (electronic)", ISSN-L = "1061-8600", bibdate = "Mon Aug 30 08:15:16 MDT 2010", bibsource = "http://www.amstat.org/publications/jcgs/; https://www.math.utah.edu/pub/tex/bib/jcomputgraphstat.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, journal-URL = "http://www.tandfonline.com/loi/ucgs20", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:15 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Book{Shoukri:2007:ACD, author = "M. M. (Mohamed M.) Shoukri and Mohammad A. Chaudhary", title = "Analysis of correlated data with {SAS} and {R}", publisher = pub-CHAPMAN-HALL-CRC, address = pub-CHAPMAN-HALL-CRC:adr, edition = "Third", pages = "295", year = "2007", ISBN = "1-58488-619-6", ISBN-13 = "978-1-58488-619-8", LCCN = "RA652.2.M3 S53 2007", bibdate = "Tue Sep 6 09:15:00 MDT 2011", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; library.ox.ac.uk:210/ADVANCE", URL = "http://www.loc.gov/catdir/enhancements/fy0733/2007000593-d.htm; http://www.loc.gov/catdir/toc/ecip078/2007000593.htm", acknowledgement = ack-nhfb, remark = "CD-ROM inside back cover. Originally published: Statistical methods for health sciences. 2nd ed. Boca Raton, Fla.: CRC Press, c1999.", subject = "Epidemiology; Statistical methods", } @Article{Smith:2007:BRP, author = "Brian J. Smith", title = "{\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:16 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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 {\tt boa} was created. This manuscript presents the user's manual for {\tt 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", } @Article{Starkings:2007:SBRb, author = "Susan Starkings", title = "Short Book Review: {{\booktitle{The R Book}} by Michael J. Crawley}", journal = j-INT-STAT-REV, volume = "75", number = "3", pages = "425--426", month = dec, year = "2007", CODEN = "ISTRDP", DOI = "https://doi.org/10.1111/j.1751-5823.2007.00030_16.x; https://doi.org/10.2307/41509895", ISSN = "0306-7734 (print), 1751-5823 (electronic)", ISSN-L = "0306-7734", bibdate = "Wed Jun 18 06:26:21 MDT 2014", bibsource = "http://www.jstor.org/stable/i40074048; https://www.math.utah.edu/pub/tex/bib/intstatrev.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstor.org/stable/41509895", acknowledgement = ack-nhfb, fjournal = "International Statistical Review = Revue Internationale de Statistique", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823; http://www.jstor.org/journals/03067734.html", onlinedate = "10 Dec 2007", } @Article{Stasinopoulos:2007:BRG, author = "Mikis Stasinopoulos", title = "Book Review: {{\booktitle{Generalized Additive Models: an Introduction with R}}, by S. N. Wood}", journal = j-BIOMETRICS, volume = "63", number = "4", pages = "1298--1299", month = dec, year = "2007", CODEN = "BIOMB6", DOI = "https://doi.org/10.1111/j.1541-0420.2007.00905_3.x", ISSN = "0006-341X (print), 1541-0420 (electronic)", ISSN-L = "0006-341X", bibdate = "Thu Jun 25 10:48:14 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, ajournal = "Biometrics", fjournal = "Biometrics", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420", onlinedate = "07 December 2007", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:16 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Stubben:2007:EAD, author = "Chris Stubben and Brook Milligan", title = "Estimating and Analyzing Demographic Models Using the {\tt popbio} Package in {R}", journal = j-J-STAT-SOFT, volume = "22", number = "11", pages = "1--23", month = sep, year = "2007", CODEN = "JSSOBK", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:16 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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 {\tt 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", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:16 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Suchard:2007:BRA, author = "Marc A. Suchard", title = "Book Review: {{\booktitle{Analysis of Phylogenetics and Evolution with R}}, by E. Paradis}", journal = j-BIOMETRICS, volume = "63", number = "4", pages = "1304--1305", month = dec, year = "2007", CODEN = "BIOMB6", DOI = "https://doi.org/10.1111/j.1541-0420.2007.00905_11.x", ISSN = "0006-341X (print), 1541-0420 (electronic)", ISSN-L = "0006-341X", bibdate = "Thu Jun 25 10:48:14 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, ajournal = "Biometrics", fjournal = "Biometrics", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420", onlinedate = "07 December 2007", } @Article{Thioulouse:2007:IMD, author = "Jean Thioulouse and St{\'e}phane Dray", title = "Interactive Multivariate Data Analysis in {R} with the {\tt ade4} and {{\tt ade4TkGUI}} Packages", journal = j-J-STAT-SOFT, volume = "22", number = "5", pages = "1--14", month = sep, year = "2007", CODEN = "JSSOBK", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:16 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstatsoft.org/v22/i05", abstract = "{\tt ade4} is a multivariate data analysis package for the R statistical environment, and {\tt ade4TkGUI} is a Tcl/Tk graphical user interface for the most essential methods of {\tt ade4}. Both packages are available on CRAN. An overview of {\tt 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. {\tt 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", } @Article{Tilahun:2007:FSM, author = "Abel Tilahun and Assam Pryseley and Ariel Alonso and Geert Molenberghs", title = "Flexible surrogate marker evaluation from several randomized clinical trials with continuous endpoints, using {R} and {SAS}", journal = j-COMPUT-STAT-DATA-ANAL, volume = "51", number = "9", pages = "4152--4163", day = "15", month = may, year = "2007", CODEN = "CSDADW", ISSN = "0167-9473 (print), 1872-7352 (electronic)", ISSN-L = "0167-9473", bibdate = "Fri Feb 6 11:42:11 MST 2015", bibsource = "https://www.math.utah.edu/pub/tex/bib/computstatdataanal2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/sas.bib", URL = "http://www.sciencedirect.com/science/article/pii/S0167947307000679", acknowledgement = ack-nhfb, fjournal = "Computational Statistics \& Data Analysis", journal-URL = "http://www.sciencedirect.com/science/journal/01679473", } @Article{Tyler:2007:BRB, author = "David E. Tyler", title = "Book review: {{\booktitle{Robust Statistical Methods with R}}}", journal = j-J-AM-STAT-ASSOC, volume = "102", number = "478", pages = "759--760", month = jun, year = "2007", CODEN = "JSTNAL", DOI = "https://doi.org/10.1198/jasa.2007.s187", ISSN = "0162-1459 (print), 1537-274X (electronic)", ISSN-L = "0162-1459", bibdate = "Thu Aug 26 11:26:31 MDT 2010", bibsource = "http://www.amstat.org/publications/jasa/; https://www.math.utah.edu/pub/tex/bib/jamstatassoc2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, fjournal = "Journal of the American Statistical Association", journal-URL = "http://www.tandfonline.com/loi/uasa20", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:16 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Wickham:2007:RG, author = "Hadley Wickham and Dianne Cook", title = "{R} Graphics", journal = j-AMER-STAT, volume = "61", number = "1", pages = "99--100", month = feb, year = "2007", CODEN = "ASTAAJ", DOI = "https://doi.org/10.1198/tas.2007.s72", ISSN = "0003-1305 (print), 1537-2731 (electronic)", ISSN-L = "0003-1305", bibdate = "Thu Aug 26 21:48:27 MDT 2010", bibsource = "http://www.amstat.org/publications/tas/; https://www.math.utah.edu/pub/tex/bib/amstat2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, fjournal = "The American Statistician", journal-URL = "http://www.tandfonline.com/loi/utas20", } @Article{Yuan:2007:MLM, author = "Lester L. Yuan", title = "Maximum Likelihood Method for Predicting Environmental Conditions from Assemblage Composition: The {R} Package {\tt bio.infer}", journal = j-J-STAT-SOFT, volume = "22", number = "3", pages = "1--20", month = sep, year = "2007", CODEN = "JSSOBK", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:16 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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 {\tt 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", } @Article{Anonymous:2008:BRAb, author = "Anonymous", title = "Book Review: {{\booktitle{Analysis of Correlated Data with SAS and R}}, 3rd edition. by Shoukri, M. M. and Chaudhary, M. A.}", journal = j-BIOMETRICS, volume = "64", number = "2", pages = "660--661", month = jun, year = "2008", CODEN = "BIOMB6", DOI = "https://doi.org/10.1111/j.1541-0420.2008.01026_13.x", ISSN = "0006-341X (print), 1541-0420 (electronic)", ISSN-L = "0006-341X", bibdate = "Thu Jun 25 10:48:15 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/sas.bib", acknowledgement = ack-nhfb, ajournal = "Biometrics", fjournal = "Biometrics", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420", onlinedate = "28 June 2008", } @Book{Baclawski:2008:IPR, author = "Kenneth Baclawski", title = "Introduction to probability with {R}", volume = "75", publisher = pub-CHAPMAN-HALL-CRC, address = pub-CHAPMAN-HALL-CRC:adr, pages = "xvi + 363", year = "2008", ISBN = "1-4200-6521-1 (hardcover)", ISBN-13 = "978-1-4200-6521-3 (hardcover)", LCCN = "QA273 .B2535 2008", bibdate = "Tue Apr 29 20:39:05 MDT 2014", bibsource = "https://www.math.utah.edu/pub/tex/bib/probstat2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; prodorbis.library.yale.edu:7090/voyager; z3950.loc.gov:7090/Voyager", series = "Chapman and Hall/CRC texts in statistical science series", URL = "http://www.loc.gov/catdir/enhancements/fy0803/2007041288-d.html; http://www.loc.gov/catdir/toc/ecip082/2007041288.html", acknowledgement = ack-nhfb, subject = "Probabilities; R (Computer program language); Mathematical models", tableofcontents = "Sets, events, and probability \\ Finite processes \\ Discrete random variables \\ General random variables \\ Statistics and the normal distribution \\ Conditional probability \\ The Poisson process \\ Randomization and compound processes \\ Entropy and information \\ Markov chains \\ Random walks \\ Memorylessness and scale-invariance", } @Book{Bartoszynski:2008:PSI, author = "Robert Bartoszy{\'n}ski and Magdalena Niewiadomska-Bugaj", title = "Probability and statistical inference", publisher = pub-WILEY-INTERSCIENCE, address = pub-WILEY-INTERSCIENCE:adr, edition = "Second", pages = "xii + 647", year = "2008", ISBN = "0-471-69693-5 (hardcover)", ISBN-13 = "978-0-471-69693-3 (hardcover)", LCCN = "QA273 .B2584 2008", bibdate = "Wed Sep 15 09:42:15 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", URL = "http://www.loc.gov/catdir/enhancements/fy0826/2008271954-b.html; http://www.loc.gov/catdir/enhancements/fy0826/2008271954-d.html; http://www.loc.gov/catdir/enhancements/fy0826/2008271954-t.html; http://www.wiley.com/WileyCDA/WileyTitle/productCd-0471696935.html", acknowledgement = ack-nhfb, remark = "Previous edition: Chichester: Wiley, 1996.", subject = "probabilities; mathematical statistics", } @Article{Bates:2008:SBRa, author = "Douglas M. Bates", title = "Short Book Review: {{\booktitle{Data Manipulation with R}} by Phil Spector}", journal = j-INT-STAT-REV, volume = "76", number = "2", pages = "324--325", month = aug, year = "2008", CODEN = "ISTRDP", DOI = "https://doi.org/10.1111/j.1751-5823.2008.00054_25.x; https://doi.org/10.2307/27919643", ISSN = "0306-7734 (print), 1751-5823 (electronic)", ISSN-L = "0306-7734", bibdate = "Wed Jun 18 06:26:22 MDT 2014", bibsource = "http://www.jstor.org/stable/i27919607; https://www.math.utah.edu/pub/tex/bib/intstatrev.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstor.org/stable/27919643", acknowledgement = ack-nhfb, fjournal = "International Statistical Review = Revue Internationale de Statistique", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823; http://www.jstor.org/journals/03067734.html", onlinedate = "28 Jul 2008", } @Article{Bates:2008:SBRb, author = "Douglas M. Bates", title = "Short Book Review: {{\booktitle{Probability and Statistics with R}} by Maria Dolores Ugarte, Ana F. Militino, Alan T. Arnholt}", journal = j-INT-STAT-REV, volume = "76", number = "3", pages = "447--448", month = dec, year = "2008", CODEN = "ISTRDP", DOI = "https://doi.org/10.1111/j.1751-5823.2008.00062_12.x; https://doi.org/10.2307/27919667", ISSN = "0306-7734 (print), 1751-5823 (electronic)", ISSN-L = "0306-7734", bibdate = "Wed Jun 18 06:26:22 MDT 2014", bibsource = "http://www.jstor.org/stable/i27919648; https://www.math.utah.edu/pub/tex/bib/intstatrev.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstor.org/stable/27919667", acknowledgement = ack-nhfb, fjournal = "International Statistical Review = Revue Internationale de Statistique", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823; http://www.jstor.org/journals/03067734.html", onlinedate = "3 Dec 2008", } @Book{Bivand:2008:ASD, author = "Roger S. Bivand and Edzer J. Pebesma and Virgilio G{\'o}mez-Rubio", title = "Applied Spatial Data Analysis with {R}", publisher = pub-SV, address = pub-SV:adr, pages = "xiv + 374", year = "2008", ISBN = "0-387-78170-6", ISBN-13 = "978-0-387-78170-9", LCCN = "????", bibdate = "Sat Jun 13 10:06:25 MDT 2009", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.gbv.de:20011/gvk", price = "EUR 48.10; SFR 75.00", series = "Use R!", URL = "http://deposit.d-nb.de/cgi-bin/dokserv?id=3087668&prov=M&dok_var=1&dok_ext=htm", acknowledgement = ack-nhfb, tableofcontents = "Handling Spatial Data in R \\ Hello World : Introducing Spatial Data \\ Classes for Spatial Data in R \\ Visualising Spatial Data \\ Spatial Data Import and Export \\ Further Methods for Handling Spatial Data \\ Customising Spatial Data Classes and Methods \\ Analysing Spatial Data \\ Spatial Point Pattern Analysis \\ Interpolation and Geostatistics \\ Areal Data and Spatial Autocorrelation \\ Modelling Areal Data \\ Disease Mapping", } @Book{Bolker:2008:EMD, author = "Benjamin M. Bolker", title = "Ecological Models and Data in {R}", publisher = pub-PRINCETON, address = pub-PRINCETON:adr, pages = "vii + 396", year = "2008", ISBN = "0-691-12522-8", ISBN-13 = "978-0-691-12522-0", LCCN = "QH541.15.S72 B65 2008", bibdate = "Sat Jun 27 08:44:09 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", acknowledgement = ack-nhfb, author-dates = "1967--", subject = "Ecology; Statistical methods; Mathematical models; Simulation methods; R (Computer program language)", tableofcontents = "Introduction and background \\ Exploratory data analysis and graphics \\ Deterministic functions for ecological modeling \\ Probability and stochastic distributions for ecological modeling \\ Stochastic simulation and power analysis \\ Likelihood and all that \\ Optimization and all that \\ Likelihood examples \\ Standard statistics revisited \\ Modeling variance \\ Dynamic models \\ Afterword \\ Appendix: Algebra and calculus basics", } @Article{Brock:2008:CRP, author = "Guy Brock and Vasyl Pihur and Susmita Datta and Somnath Datta", title = "{{\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:17 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstatsoft.org/v25/i04", abstract = "The R package {\tt 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 ``{\tt 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", } @Article{Butts:2008:NPM, author = "Carter T. Butts", title = "{\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:16 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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 {\tt 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 {\tt 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", } @Article{Cao:2008:ORP, author = "Kim-Anh L{\^e} Cao and Patrick Chabrier", title = "{\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Book{Chambers:2008:SDA, author = "John M. Chambers", title = "Software for Data Analysis: Programming with {R}", publisher = pub-SV, address = pub-SV:adr, pages = "xiv + 498", year = "2008", ISBN = "0-387-75935-2, 0-387-75936-0", ISBN-13 = "978-0-387-75935-7, 978-0-387-75936-4", LCCN = "QA276.45.R3 C43 2008", bibdate = "Sat Jun 13 09:37:19 MDT 2009", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Statistics and computing", acknowledgement = ack-nhfb, subject = "numerical analysis; data processing; R (Computer programming language)", } @Book{Chang:2008:ADT, author = "Mark Chang", title = "Adaptive Design Theory and Implementation Using {SAS} and {R}", publisher = pub-CHAPMAN-HALL-CRC, address = pub-CHAPMAN-HALL-CRC:adr, pages = "xxii + 418", year = "2008", ISBN = "1-58488-962-4", ISBN-13 = "978-1-58488-962-5", LCCN = "R853.C55 C42 2008", bibdate = "Thu Jul 10 08:38:53 MDT 2014", bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Chapman and Hall/CRC biostatistics series", URL = "http://www.loc.gov/catdir/enhancements/fy0801/2007011412-d.html; http://www.loc.gov/catdir/toc/ecip0713/2007011412.html", acknowledgement = ack-nhfb, subject = "Clinical trials; Design; Computer simulation; Statistical methods; Adaptive sampling (Statistics); SAS (Computer file); R (Computer program language); methods; Research Design; Biometry; Data Interpretation, Statistical; Software", tableofcontents = "Introduction \\ Classic Design \\ Multiplicity in Classic Design \\ Theory of Adaptive Design \\ Method with Direct Combination of P-values \\ Method with Combination of Inverse-Normal P-values \\ Conditional Error Approach \\ Implementation of K-stage Design \\ Recursive Two-Stage Adaptive Design \\ Sample Size Re-estimation \\ Drop-loser and Seamless Designs \\ Biomarker Adaptive Design Multiple-Endpoint Adaptive Trials \\ Response-Adaptive Randomization \\ Response-Adaptive Treatment Switching \\ Bayesian Approach and Decision Theory \\ Clinical Trial Simulation \\ Opportunity, Challenges, and Recommendations", } @Book{Claude:2008:MR, author = "Julien Claude", title = "Morphometrics with {R}", publisher = pub-SV, address = pub-SV:adr, pages = "xviii + 316", year = "2008", ISBN = "0-387-77789-X (paperback)", ISBN-13 = "978-0-387-77789-4 (paperback)", LCCN = "QH351 .C53 2008", bibdate = "Thu Jul 10 08:42:47 MDT 2014", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Use R!", abstract = "Quantifying shape and size variation is essential in evolutionary biology and in many other disciplines. Since the ``morphometric revolution of the 90s,'' an increasing number of publications in applied and theoretical morphometrics emerged in the new discipline of statistical shape analysis. The R language and environment offers a single platform to perform a multitude of analyses from the acquisition of data to the production of static and interactive graphs. This offers an ideal environment to analyze shape variation and shape change.", acknowledgement = ack-nhfb, subject = "Morphology; Statistical methods; Data processing; R (Computer program language)", tableofcontents = "Contributors. \\ Abbreviations and notations \\ Introduction \\ Acquiring and manipulating morphometric data \\ Traditional statistics for morphometrics \\ Modern morphometrics based on configurations of landmarks \\ Statistical analysis of shape using modern morphometrics \\ Going further with R \\ Appendix A: functions developed in this text \\ Appendix B: packages used in this text \\ References \\ Index", } @Book{Cohen:2008:SDR, author = "Yosef Cohen and Jeremiah Y. Cohen", title = "Statistics and data with {R}: an applied approach through examples", publisher = pub-WILEY, address = pub-WILEY:adr, pages = "xviii + 599", year = "2008", ISBN = "0-470-75805-8 (cloth), 0-470-72188-X (e-book)", ISBN-13 = "978-0-470-75805-2 (cloth), 978-0-470-72188-9 (e-book)", LCCN = "QA276.45.R3 C64 2008", bibdate = "Wed Sep 15 09:40:50 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", URL = "http://www.loc.gov/catdir/toc/ecip0824/2008032153.html; http://www.wiley.com/WileyCDA/WileyTitle/productCd-047072188X.html; http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470758058.html", acknowledgement = ack-nhfb, subject = "mathematical statistics; data processing; R (computer programming language)", } @Book{Cornillon:2008:SAR, author = "Pierre-Andr{\'e} Cornillon and Arnaud Guyader and Fran{\c{c}}ois Husson and Nicolas J{\'e}gou and Julie Josse and Maela Kloareg and Eric Matzner-L{\o}ber and Laurent Rouvi{\`e}re", title = "Statistiques avec {R}", publisher = "Presses universitaires de Rennes", address = "Rennes, France", pages = "v + 257", year = "2008", ISBN = "2-7535-0722-8", ISBN-13 = "978-2-7535-0722-7", LCCN = "QA276.45 R3 S797 2008", bibdate = "Thu Jul 10 13:10:39 MDT 2014", bibsource = "fsz3950.oclc.org:210/WorldCat; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", series = "Didact statistique", acknowledgement = ack-nhfb, } @Article{Crookston:2008:YRP, author = "Nicholas L. Crookston and Andrew O. Finley", title = "{{\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:16 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstatsoft.org/v23/i10", abstract = "This article introduces {\tt 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 {\tt yaImpute} package are tailored to imputation-based forest attribute estimation and mapping. The impetus to writing the {\tt 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. {\tt 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", } @Book{Cryer:2008:TSA, author = "Jonathan D. Cryer and Kung-sik Chan", title = "Time Series Analysis: with Applications in {R}", publisher = pub-SV, address = pub-SV:adr, edition = "Second", pages = "xiii + 491", year = "2008", DOI = "https://doi.org/10.1007/978-0-387-75959-3", ISBN = "1-4419-2613-5 (paperback), 0-387-75958-1, 0-387-75959-X (e-book)", ISBN-13 = "978-1-4419-2613-5 (paperback), 978-0-387-75958-6, 978-0-387-75959-3 (e-book)", LCCN = "QA280 .C78 2008", bibdate = "Thu Jul 10 09:44:41 MDT 2014", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Springer texts in statistics", URL = "http://www.loc.gov/catdir/toc/fy0804/2008923058.html", acknowledgement = ack-nhfb, subject = "Time-series analysis; Data processing; R (Computer program language)", tableofcontents = "Introduction \\ Fundamental concepts \\ Trends \\ Models for stationary time series \\ Models for nonstationary time series \\ Model specification \\ Parameter estimation \\ Model diagnostics \\ Forecasting \\ Seasonal models \\ Time series regression models \\ Time series models of heteroscedasticity \\ Introduction to spectral analysis \\ Estimating the spectrum \\ Threshold models \\ Appendix: an introduction to R", } @Book{Dalgaard:2008:ISR, author = "Peter Dalgaard", title = "Introductory Statistics with {R}", publisher = pub-SV, address = pub-SV:adr, edition = "Second", pages = "xvi + 363", year = "2008", ISBN = "0-387-79053-5 (paperback)", ISBN-13 = "978-0-387-79053-4 (paperback)", ISSN = "1431-8784", LCCN = "QA276.45.R3 D35 2008", bibdate = "Sat Jun 13 08:44:00 MDT 2009", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Statistics and computing", acknowledgement = ack-nhfb, remark = "First edition \cite{Dalgaard:2002:ISR}.", subject = "statistics; data processing; R (Computer program language)", } @Article{Dutang:2008:ARP, author = "Christophe Dutang and Vincent Goulet and Mathieu Pigeon", title = "{\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:17 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstatsoft.org/v25/i07", abstract = "{\tt 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", } @Article{Emerson:2008:BRI, author = "John W. Emerson", title = "Book Review: {{\booktitle{Interactive and Dynamic Graphics for Data Analysis: With R and GGobi}}, by Cook, D. and Swayne, D.}", journal = j-BIOMETRICS, volume = "64", number = "4", pages = "1301--1303", month = dec, year = "2008", CODEN = "BIOMB6", DOI = "https://doi.org/10.1111/j.1541-0420.2008.01138_4.x", ISSN = "0006-341X (print), 1541-0420 (electronic)", ISSN-L = "0006-341X", bibdate = "Thu Jun 25 10:48:17 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, ajournal = "Biometrics", fjournal = "Biometrics", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420", onlinedate = "24 November 2008", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:17 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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 {\tt 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", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @TechReport{Filzmoser:2008:LRS, author = "Peter Filzmoser", title = "{\LaTeX} and {R} via {Sweave}: An example document how to use {Sweave}", type = "Technical report", institution = "Vienna University of Technology", address = "Wiedner Haupstra{\ss}e 8-10, A-1040 Wien, Austria", pages = "6", day = "12", month = mar, year = "2008", bibdate = "Sat Jul 5 19:14:35 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/litprog.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.statistik.tuwien.ac.at/public/filz/students/SweaveExa.pdf", acknowledgement = ack-nhfb, } @Article{Freeman:2008:PRP, author = "Elizabeth A. Freeman and Gretchen Moisen", title = "{{\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:16 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstatsoft.org/v23/i11", abstract = "The {\tt 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", } @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 = "{{\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:16 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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, {\tt 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 {\tt CCA} package also includes a regularized version of {\tt 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", } @Article{Grothendieck:2008:BRB, author = "Gabor Grothendieck", title = "Book Review: {{\booktitle{lattice: Multivariate Data Visualization with R}}}", journal = j-J-STAT-SOFT, volume = "25", number = "BR-2", pages = "1--3", month = may, year = "2008", CODEN = "JSSOBK", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:17 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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{Hahsler:2008:GTO, author = "Michael Hahsler and Kurt Hornik and Christian Buchta", title = "Getting Things in Order: An Introduction to the {R} Package {\tt seriation}", journal = j-J-STAT-SOFT, volume = "25", number = "3", pages = "1--34", month = mar, year = "2008", CODEN = "JSSOBK", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:17 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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 {\tt 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 {\tt 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", } @Article{Hanley:2008:SWI, author = "James A. Hanley and Marilyse Julien and Erica E. M. Moodie", title = "{Student}'s $z$, $t$, and $s$: What if {Gosset} had {R}?", journal = j-AMER-STAT, volume = "62", number = "1", pages = "64--69", month = feb, year = "2008", CODEN = "ASTAAJ", DOI = "https://doi.org/10.1198/000313008X269602", ISSN = "0003-1305 (print), 1537-2731 (electronic)", ISSN-L = "0003-1305", bibdate = "Thu Apr 24 06:00:47 2014", bibsource = "http://www.amstat.org/publications/tas/; https://www.math.utah.edu/pub/tex/bib/amstat2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, fjournal = "The American Statistician", journal-URL = "http://www.tandfonline.com/loi/utas20", } @Article{Harrison:2008:SRR, author = "Teresa D. Harrison", title = "Software review: Review of {\tt np} software for {R}", journal = j-J-APPL-ECONOMETRICS, volume = "23", number = "6", pages = "861--865", month = sep # "--" # oct, year = "2008", CODEN = "JAECET", DOI = "https://doi.org/10.1002/jae.1004", ISSN = "0883-7252 (print), 1099-1255 (electronic)", ISSN-L = "0883-7252", bibdate = "Sat Mar 9 10:20:22 MST 2019", bibsource = "https://www.math.utah.edu/pub/tex/bib/jappleconometrics.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, fjournal = "Journal of Applied Econometrics", journal-URL = "https://onlinelibrary.wiley.com/journal/10991255; https://www.jstor.org/journal/japplecon", onlinedate = "19 September 2008", } @Book{Hartung:2008:SMA, author = "Joachim Hartung and Guido Knapp and Bimal K. Sinha", title = "Statistical meta-analysis with applications", publisher = pub-WILEY, address = pub-WILEY:adr, pages = "xv + 247", year = "2008", ISBN = "0-470-29089-7 (cloth), 0-470-38633-9 (e-book)", ISBN-13 = "978-0-470-29089-7 (cloth), 978-0-470-38633-0 (e-book)", LCCN = "QA277 .H373 2008", bibdate = "Wed Sep 15 09:38:18 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Wiley series in probability and statistics", URL = "http://www.loc.gov/catdir/enhancements/fy0811/2008009435-d.html; http://www.loc.gov/catdir/enhancements/fy0814/2008009435-t.html; http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470386339.html", abstract = "Statistical Meta-Analysis with Applications presents the necessary statistical methodologies that allow readers to tackle the four main stages of meta-analysis: problem formulation, data collection, data evaluation, and data analysis and interpretation. Combining the authors' expertise on the topic with a wealth of up-to-date information, this book successfully introduces the essential statistical practices for making thorough and accurate discoveries across a wide array of diverse fields, such as business, public health, biostatistics, and environmental studies.", acknowledgement = ack-nhfb, subject = "statistical hypothesis testing; meta-analysis; meta-analysis as topic; data interpretation, statistical; statistics as topic; methods", tableofcontents = "Introduction \\ Various measures of effect size \\ Combining independent tests \\ Methods of combining effect sizes \\ Inference about a common mean of several univariate normal populations \\ Tests of homogeneity in meta-analysis \\ One-way random effects model \\ Combining controlled trials with normal outcomes \\ Combining controlled trials with discrete outcomes \\ Meta-regression \\ Multivariate meta-analysis \\ Bayesian meta-analysis \\ Publication bias \\ 14. Recovery of inter-block information \\ Combination of polls \\ Vote counting procedures \\ Computational aspects data sets", } @Article{Hui:2008:LRP, author = "Wallace Hui and Yulia R. Gel and Joseph L. Gastwirth", title = "{\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Hyndman:2008:ATS, author = "Rob J. Hyndman and Yeasmin Khandakar", title = "Automatic Time Series Forecasting: The {\tt forecast} Package for {R}", journal = j-J-STAT-SOFT, volume = "27", number = "3", pages = "??--??", month = jul, year = "2008", CODEN = "JSSOBK", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:40 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Iacus:2008:IMF, author = "Stefano 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:17 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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 {\tt rrp}.", } @Book{Iacus:2008:SIS, author = "Stefano M. Iacus", title = "Simulation and Inference for Stochastic Differential Equations: With {R} Examples", volume = "??", publisher = pub-SV, address = pub-SV:adr, pages = "xviii + 284", year = "2008", CODEN = "????", DOI = "https://doi.org/10.1007/978-0-387-75839-8", ISBN = "0-387-75839-9, 0-387-75838-0", ISBN-13 = "978-0-387-75839-8, 978-0-387-75838-1", ISSN = "0172-7397", ISSN-L = "0172-7397", LCCN = "QA274.23 .I23 2008", bibdate = "Thu Jun 19 06:41:21 MDT 2014", bibsource = "https://www.math.utah.edu/pub/tex/bib/probstat2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", series = "Springer Series in Statistics", URL = "http://link.springer.com/book/10.1007/978-0-387-75839-8", abstract = "This book is unique because of its focus on the practical implementation of the simulation and estimation methods presented. The book will be useful to practitioners and students with only a minimal mathematical background because of the many R programs, and to more mathematically-educated practitioners. Many of the methods presented in the book have not been used much in practice because the lack of an implementation in a unified framework. This book fills the gap. With the R code included in this book, a lot of useful methods become easy to use for practitioners and students. An R package called ``sde'' provides functions with easy interfaces ready to be used on empirical data from real life applications. Although it contains a wide range of results, the book has an introductory character and necessarily does not cover the whole spectrum of simulation and inference for general stochastic differential equations. The book is organized into four chapters. The first one introduces the subject and presents several classes of processes used in many fields of mathematics, computational biology, finance and the social sciences. The second chapter is devoted to simulation schemes and covers new methods not available in other publications. The third one focuses on parametric estimation techniques. In particular, it includes exact likelihood inference, approximated and pseudo-likelihood methods, estimating functions, generalized method of moments, and other techniques. The last chapter contains miscellaneous topics like nonparametric estimation, model identification and change point estimation. The reader who is not an expert in the R language will find a concise introduction to this environment focused on the subject of the book. A documentation page is available at the end of the book for each R function presented in the book. Stefano M. Iacus is associate professor of Probability and Mathematical Statistics at the University of Milan, Department of Economics, Business and Statistics. He has a PhD in Statistics at Padua University, Italy and in Mathematics at Universit{\'e} du Maine, France. He is a member of the R Core team for the development of the R statistical environment, Data Base manager for the Current Index to Statistics, and IMS Group Manager for the Institute of Mathematical Statistics. He has been associate editor of the Journal of Statistical Software.", acknowledgement = ack-nhfb, remark = "Most volumes in this series are unnumbered.", series-URL = "http://link.springer.com/bookseries/692", subject = "Stochastic differential equations; Stochastic Processes; Signal, Image and Speech Processing; Simulation and Modeling; Quantitative Finance; Statistics and Computing/Statistics Programs; Computational Mathematics and Numerical Analysis; {\'E}quations diff{\'e}rentielles stochastiques; MATHEMATICS; Probability and Statistics; General; Interferenz; Stochastische Differentialgleichung; Stochastik; Simulation; Stochastic differential equations.", tableofcontents = "Stochastic processes and stochastic differential equations \\ Numerical methods for SDE \\ Parametric estimation \\ Miscellaneous topics", } @Article{Kiermeier:2008:VAA, author = "Andreas Kiermeier", title = "Visualizing and Assessing Acceptance Sampling Plans: The {R} Package {{\tt AcceptanceSampling}}", journal = j-J-STAT-SOFT, volume = "26", number = "6", pages = "??--??", month = jul, year = "2008", CODEN = "JSSOBK", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:40 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Book{Kleiber:2008:AER, author = "Christian Kleiber and Achim Zeileis", title = "Applied Econometrics with {R}", publisher = pub-SV, address = pub-SV:adr, pages = "x + 221", year = "2008", ISBN = "0-387-77316-9", ISBN-13 = "978-0-387-77316-2", LCCN = "QA276.45.R3 K58 2008", bibdate = "Thu Jul 10 08:55:16 MDT 2014", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", URL = "http://www.loc.gov/catdir/enhancements/fy0903/2008934356-d.html; http://www.loc.gov/catdir/enhancements/fy0903/2008934356-t.html", abstract = "This is the first book on applied econometrics using the R system for statistical computing and graphics. It presents hands-on examples for a wide range of econometric models, from classical linear regression models for cross-section, time series or panel data and the common non-linear models of microeconometrics such as logit, probit and tobit models, to recent semiparametric extensions. In addition, it provides a chapter on programming, including simulations, optimization, and an introduction to R tools enabling reproducible econometric research.\par The goal of this book is to provide a guide to R for users with a background in economics or the social sciences. Readers are assumed to have a background in basic statistics and econometrics at the undergraduate level. A large number of examples should make the book of interest to graduate students, researchers and practitioners alike.", acknowledgement = ack-nhfb, author-dates = "1966--", subject = "R (Computer program language); Econometrics; Data processing; Statistics; Business; Management; MATHEMATICS; Probability and Statistics; General; R (Programm); {\"O}konometrie; Data processing; R (Computer program language); Science {\'e}conomique; Affaires; {\'E}conomie de l'entreprise.", tableofcontents = "Introduction \\ Basics \\ Linear Regression \\ Diagnostics and alternative methods of regression \\ Models of microeconometrics \\ Time series \\ Programming your own analysis \\ References \\ Index", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:17 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstatsoft.org/v25/i02", abstract = "The {\tt 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", } @Article{Kuhn:2008:BPM, author = "Max Kuhn", title = "Building Predictive Models in {R} Using the {\tt caret} Package", journal = j-J-STAT-SOFT, volume = "28", number = "5", pages = "??--??", month = nov, year = "2008", CODEN = "JSSOBK", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Le:2008:FRP, author = "S{\'e}bastien L{\^e} and Julie Josse and Fran{\c{c}}ois Husson", title = "{{\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:17 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstatsoft.org/v25/i01", abstract = "In this article, we present {\tt 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 {\tt 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", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:17 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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 {\tt 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 {\tt 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 {\tt 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 {\tt ig}.", } @Book{Leuangthong:2008:SPG, author = "Oy Leuangthong and K. Daniel Khan and Clayton V. Deutsch", title = "Solved problems in geostatistics", publisher = pub-WILEY, address = pub-WILEY:adr, pages = "vii + 207", year = "2008", ISBN = "0-470-17792-6 (paperback)", ISBN-13 = "978-0-470-17792-1 (paperback)", LCCN = "QE33.2.S82 L48 2008", bibdate = "Wed Sep 15 09:36:31 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", URL = "http://www.loc.gov/catdir/toc/ecip0811/2008007625.html; http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470177926.html", acknowledgement = ack-nhfb, subject = "geology; statistical methods; problems, exercises, etc; data processing", } @Article{Lumley:2008:BRA, author = "Thomas Lumley", title = "Book Review: {{\booktitle{Analysis of correlated data with SAS and R}} (3rd edn). Mohamed M. Shoukri and Mohammad A. Chaudhary, Chapman and Hall\slash CRC, Boca Raton, 2007. No. of pages: 295. Price: \$89.95. ISBN: 1-58488-619-6}", journal = j-STAT-MED, volume = "27", number = "22", pages = "4610--4611", day = "30", month = sep, year = "2008", CODEN = "SMEDDA", DOI = "https://doi.org/10.1002/sim.3331", ISSN = "0277-6715 (print), 1097-0258 (electronic)", ISSN-L = "0277-6715", bibdate = "Sat Jun 27 15:47:16 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/sas.bib; https://www.math.utah.edu/pub/tex/bib/statmed2000.bib", acknowledgement = ack-nhfb, ajournal = "Stat. Med.", fjournal = "Statistics in Medicine", journal-URL = "https://onlinelibrary.wiley.com/journal/10970258", onlinedate = "19 August 2008", } @Article{Maindonald:2008:SBR, author = "John H. Maindonald", title = "Short Book Review: {{\booktitle{Interactive and Dynamic Graphics for Data Analysis --- With R and GGobi}} by Dianne Cook; Deborah F. Swayne}", journal = j-INT-STAT-REV, volume = "76", number = "3", pages = "437--438", month = dec, year = "2008", CODEN = "ISTRDP", DOI = "https://doi.org/10.1111/j.1751-5823.2008.00062_2.x; https://doi.org/10.2307/27919657", ISSN = "0306-7734 (print), 1751-5823 (electronic)", ISSN-L = "0306-7734", bibdate = "Wed Jun 18 06:26:22 MDT 2014", bibsource = "http://www.jstor.org/stable/i27919648; https://www.math.utah.edu/pub/tex/bib/intstatrev.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstor.org/stable/27919657", acknowledgement = ack-nhfb, fjournal = "International Statistical Review = Revue Internationale de Statistique", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823; http://www.jstor.org/journals/03067734.html", onlinedate = "3 Dec 2008", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Book{Nason:2008:WMS, author = "G. P. Nason", title = "Wavelet Methods in Statistics with {R}", publisher = pub-SV, address = pub-SV:adr, pages = "x + 257", year = "2008", DOI = "https://doi.org/10.1007/978-0-387-75961-6", ISBN = "0-387-75960-3 (paperback), 0-387-75961-1 (e-book)", ISBN-13 = "978-0-387-75960-9 (paperback), 978-0-387-75961-6 (e-book)", LCCN = "QA403.3 .N37 2008", bibdate = "Thu Jul 10 09:19:41 MDT 2014", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Use R!", abstract = "Wavelet methods have recently undergone a rapid period of development with important implications for a number of disciplines including statistics. This book has three main objectives: (i) providing an introduction to wavelets and their uses in statistics; (ii) acting as a quick and broad reference to many developments in the area; (iii) interspersing R code that enables the reader to learn the methods, to carry out their own analyses, and further develop their own ideas. The book code is designed to work with the freeware R package WaveThresh4, but the book can be read independently of R.\par The book is aimed both at Masters/Ph.D. students in a numerate discipline (such as statistics, mathematics, economics, engineering, computer science, and physics) and postdoctoral researchers/users interested in statistical wavelet methods.", acknowledgement = ack-nhfb, subject = "Wavelets (Mathematics); Mathematical statistics; R (Computer program language); Wavelets (Mathematics); Mathematical statistics.; R (Computer program language); Mathematical statistics.; R (Computer program language); Wavelets (Mathematics)", tableofcontents = "Introduction \\ Wavelets \\ Wavelet shrinkage \\ Related wavelet smoothing techniques \\ Multiscale time series analysis \\ Multiscale variance stabilization \\ A. R software for wavelets and statistics \\ B. Notation and some mathematical concepts \\ C. Survival function code", } @Article{Nordhausen:2008:SBR, author = "Klaus Nordhausen", title = "Short Book Review: {{\booktitle{Lattice: Multivariate Data Visualization with R}} by Deepayan Sarkar}", journal = j-INT-STAT-REV, volume = "76", number = "3", pages = "440--440", month = dec, year = "2008", CODEN = "ISTRDP", DOI = "https://doi.org/10.1111/j.1751-5823.2008.00062_5.x; https://doi.org/10.2307/27919660", ISSN = "0306-7734 (print), 1751-5823 (electronic)", ISSN-L = "0306-7734", bibdate = "Wed Jun 18 06:26:22 MDT 2014", bibsource = "http://www.jstor.org/stable/i27919648; https://www.math.utah.edu/pub/tex/bib/intstatrev.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstor.org/stable/27919660", acknowledgement = ack-nhfb, fjournal = "International Statistical Review = Revue Internationale de Statistique", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823; http://www.jstor.org/journals/03067734.html", onlinedate = "3 Dec 2008", } @Article{OBrien:2008:SBRa, author = "C. M. O'Brien", title = "Short Book Review: {{\booktitle{Adaptive Design Theory and Implementation Using SAS and R}} by Mark Chang}", journal = j-INT-STAT-REV, volume = "76", number = "2", pages = "300--300", month = aug, year = "2008", CODEN = "ISTRDP", DOI = "https://doi.org/10.1111/j.1751-5823.2008.00054_1.x; https://doi.org/10.2307/27919619", ISSN = "0306-7734 (print), 1751-5823 (electronic)", ISSN-L = "0306-7734", bibdate = "Wed Jun 18 06:26:22 MDT 2014", bibsource = "http://www.jstor.org/stable/i27919607; https://www.math.utah.edu/pub/tex/bib/intstatrev.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstor.org/stable/27919619", acknowledgement = ack-nhfb, fjournal = "International Statistical Review = Revue Internationale de Statistique", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823; http://www.jstor.org/journals/03067734.html", onlinedate = "28 Jul 2008", } @Article{Peng:2008:CDS, author = "Roger 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:40 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Book{Peng:2008:SME, author = "Roger D. Peng and Francesca Dominici", title = "Statistical Methods for Environmental Epidemiology with {R}: a Case Study in Air Pollution and Health", publisher = pub-SV, address = pub-SV:adr, pages = "ix + 144", year = "2008", DOI = "https://doi.org/10.1007/978-0-387-78167-9", ISBN = "0-387-78166-8 (paperback), 0-387-78167-6 (e-book)", ISBN-13 = "978-0-387-78166-2 (paperback), 978-0-387-78167-9 (e-book)", LCCN = "TD883.1 .P46 2008", bibdate = "Thu Jul 10 08:52:58 MDT 2014", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Use R!", abstract = "Advances in statistical methodology and computing have played an important role in allowing researchers to more accurately assess the health effects of ambient air pollution. The methods and software developed in this area are applicable to a wide array of problems in environmental epidemiology. This book provides an overview of the methods used for investigating the health effects of air pollution and gives examples and case studies in R which demonstrate the application of those methods to real data. The book will be useful to statisticians, epidemiologists, and graduate students working in the area of air pollution and health and others analyzing similar data.\par The authors describe the different existing approaches to statistical modeling and cover basic aspects of analyzing and understanding air pollution and health data. The case studies in each chapter demonstrate how to use R to apply and interpret different statistical models and to explore the effects of potential confounding factors. A working knowledge of R and regression modeling is assumed. In-depth knowledge of R programming is not required to understand and run the examples.", acknowledgement = ack-nhfb, subject = "Air Pollution; statistics and numerical data; Environmental Health; Models, Statistical; Software; Statistics as Topic; Air; Pollution; Mathematical models; R (Computer program language); Epidemiologie.; Statistische Analyse.; Mathematical models.; Environmental health.; R (Computer program language)", tableofcontents = "Overview of the data \\ Overview of statistical modeling \\ Statistical issues related to air pollution and health \\ Summarizing evidence of the health effects of air pollution \\ Case studies", } @Book{Pfaff:2008:AIC, author = "Bernhard Pfaff", title = "Analysis of integrated and cointegrated time series with {R}", publisher = pub-SV, address = pub-SV:adr, edition = "Second", pages = "xx + 188", year = "2008", ISBN = "0-387-75966-2 (paperback)", ISBN-13 = "978-0-387-75966-1 (paperback)", LCCN = "QA280 .P45 2008", bibdate = "Thu Jul 10 08:36:02 MDT 2014", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Use R!", URL = "http://www.loc.gov/catdir/toc/fy0906/2008930126.html", acknowledgement = ack-nhfb, subject = "Time-series analysis; Computer programs; R (Computer program language)", } @Article{Pfaff:2008:VSS, author = "Bernhard Pfaff", title = "{VAR}, {SVAR} and {SVEC} Models: Implementation Within {R} Package {\tt vars}", journal = j-J-STAT-SOFT, volume = "27", number = "4", pages = "??--??", month = jul, year = "2008", CODEN = "JSSOBK", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:40 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Pineda-Krch:2008:GIG, author = "Mario Pineda-Krch", title = "{{\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:17 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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 {\tt 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", } @Book{Reimann:2008:SDA, editor = "Clemens Reimann and Peter Filzmoser and Robert Garrett and Rudolf Dutter", title = "Statistical data analysis explained: applied environmental statistics with {R}", publisher = pub-WILEY, address = pub-WILEY:adr, pages = "xviii + 343 + 8", year = "2008", ISBN = "0-470-98581-X (hardcover), 0-470-98759-6 (e-book)", ISBN-13 = "978-0-470-98581-6 (hardcover), 978-0-470-98759-9 (e-book)", LCCN = "GE45.S73 S8324 2008", bibdate = "Wed Sep 15 09:41:33 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", URL = "http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470987596.html", acknowledgement = ack-nhfb, subject = "environmental sciences; statistical methods; data processing; R (computer programming language)", } @Book{Ritz:2008:NRR, author = "Christian Ritz and Jens C. Streibig", title = "Nonlinear regression with {R}", publisher = pub-SV, address = pub-SV:adr, pages = "xi + 144", year = "2008", ISBN = "0-387-09615-9 (paperback), 0-387-09616-7 (e-book)", ISBN-13 = "978-0-387-09615-5 (paperback), 978-0-387-09616-2 (e-book)", LCCN = "QA278.2 .R577 2008", bibdate = "Thu Jul 10 08:45:30 MDT 2014", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Use R!", abstract = "R is a rapidly evolving lingua franca of graphical display and statistical analysis of experiments from the applied sciences. Currently, R offers a wide range of functionality for nonlinear regression analysis, but the relevant functions, packages and documentation are scattered across the R environment. This book provides a coherent and unified treatment of nonlinear regression with R by means of examples from a diversity of applied sciences such as biology, chemistry, engineering, medicine and toxicology. R.", acknowledgement = ack-nhfb, subject = "Regression analysis; Data processing; Nonlinear theories; R (Computer program language); Nonlinear theories; Data processing", tableofcontents = "Introduction \\ Getting started \\ Starting values and self starters \\ More nls() \\ Model diagnostics \\ Remedies for model variations \\ Uncertainty, hypothesis testing and model selection \\ Grouped data \\ Appendix A: Datasets and models \\ Appendix B: Self starter functions \\ Appendix C: Packages and functions \\ References \\ Index", } @Book{Rizzo:2008:SCR, author = "Maria L. Rizzo", title = "Statistical computing with {R}", publisher = pub-CHAPMAN-HALL-CRC, address = pub-CHAPMAN-HALL-CRC:adr, pages = "xvi + 399", year = "2008", ISBN = "1-58488-545-9", ISBN-13 = "978-1-58488-545-0", LCCN = "QA276.45.R3 R59 2008", bibdate = "Sat Jun 13 10:38:32 MDT 2009", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Chapman and Hall/CRC computer science and data analysis series", URL = "http://www.loc.gov/catdir/enhancements/fy0740/2007034218-d.html", acknowledgement = ack-nhfb, subject = "Mathematical statistics; Data processing; Statistics; R (Computer program language)", } @Article{Robinson:2008:RB, author = "Timothy J. Robinson", title = "The {R} Book", journal = j-AMER-STAT, volume = "62", number = "3", pages = "272--273", month = aug, year = "2008", CODEN = "ASTAAJ", DOI = "https://doi.org/10.1198/tas.2008.s263", ISSN = "0003-1305 (print), 1537-2731 (electronic)", ISSN-L = "0003-1305", bibdate = "Thu Aug 26 21:48:27 MDT 2010", bibsource = "http://www.amstat.org/publications/tas/; https://www.math.utah.edu/pub/tex/bib/amstat2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, fjournal = "The American Statistician", journal-URL = "http://www.tandfonline.com/loi/utas20", } @Article{Rosenfeld:2008:ABG, author = "Simon Rosenfeld", title = "Approximate bivariate gamma generator with prespecified correlation and different marginal shapes", journal = j-TOMACS, volume = "18", number = "4", pages = "16:1--16:??", month = sep, year = "2008", CODEN = "ATMCEZ", DOI = "https://doi.org/10.1145/1391978.1391982", ISSN = "1049-3301 (print), 1558-1195 (electronic)", ISSN-L = "1049-3301", bibdate = "Mon Sep 29 16:00:42 MDT 2008", bibsource = "http://www.acm.org/pubs/contents/journals/tomacs/; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/tomacs.bib", abstract = "A new algorithm is proposed for generating approximate bivariate gamma random samples with a prespecified correlation coefficient and different marginal shapes. A distinctive feature of this approach is computational simplicity and ease of control. Extensive testing demonstrates high accuracy of the proposed algorithm. An S-PLUS code implementing the algorithm is provided. Regression lines produced by the technique are nearly linear, even when marginal shapes are drastically different. This feature makes the approach especially useful in simulation studies associated with linear regression problems. A real-life example of application to the analysis of heteroscedastic regression models is presented. This analysis is a part of a bigger study aimed at quantification of risk factors in cancer research. Two-dimensional probabilistic patterns produced by the algorithm are compared to those generated by the well-known technique by Schmeiser and Lal [1982].", acknowledgement = ack-nhfb, articleno = "16", fjournal = "ACM Transactions on Modeling and Computer Simulation", journal-URL = "http://portal.acm.org/browse_dl.cfm?&idx=J781", keywords = "bivariate gamma distribution; correlation coefficient; dietary assessment; random sampling", } @Book{Sarkar:2008:LMD, author = "Deepayan Sarkar", title = "{{\tt Lattice}}: multivariate data visualization with {R}", publisher = pub-SV, address = pub-SV:adr, pages = "xvii + 265", year = "2008", ISBN = "0-387-75968-9 (paperback), 0-387-75969-7 (e-book)", ISBN-13 = "978-0-387-75968-5 (paperback), 978-0-387-75969-2 (e-book)", LCCN = "QA171.5 .S275 2008", bibdate = "Sat Jun 13 09:37:23 MDT 2009", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Use R!", URL = "http://www.loc.gov/catdir/toc/fy0805/2008920682.html", acknowledgement = ack-nhfb, remark = "Lattice is a package for R.", subject = "lattice theory; R (Computer programming language); computer graphics; Trellis graphics", } @Article{Schlittgen:2008:BRR, author = "Rainer Schlittgen", title = "Book Review: {Robert H. Shumway and David S. Stoffer: \booktitle{Time series analysis and its applications with R examples}, 2nd edn.}", journal = j-ASTA-ADV-STAT-ANAL, volume = "92", number = "2", pages = "233--234", month = may, year = "2008", CODEN = "????", DOI = "https://doi.org/10.1007/s10182-008-0064-3", ISSN = "1863-8171 (print), 1863-818X (electronic)", ISSN-L = "1863-8171", bibdate = "Thu Feb 5 09:35:40 MST 2015", bibsource = "https://www.math.utah.edu/pub/tex/bib/asta.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://link.springer.com/accesspage/article/10.1007/s10182-008-0064-3", acknowledgement = ack-nhfb, fjournal = "AStA. Advances in Statistical Analysis", journal-URL = "http://link.springer.com/journal/10182", } @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 {\tt ramps}", journal = j-J-STAT-SOFT, volume = "25", number = "10", pages = "1--21", month = apr, year = "2008", CODEN = "JSSOBK", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:17 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstatsoft.org/v25/i10", abstract = "This article illustrates usage of the {\tt 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 {\tt 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", } @Book{Spector:2008:DMR, author = "Phil Spector", title = "Data Manipulation With {R}", publisher = pub-SV, address = pub-SV:adr, pages = "ix + 152", year = "2008", ISBN = "0-387-74730-3", ISBN-13 = "978-0-387-74730-9", LCCN = "QA276.45.R3.S64; QA276.45.R3.S64 2008", bibdate = "Sat Jun 13 09:48:10 MDT 2009", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; library.mit.edu:9909/mit01", series = "Use R!", acknowledgement = ack-nhfb, remark = "1. Data in R \\ 2. Reading and Writing Data \\ 3. R and Databases \\ 4. Dates \\ 5. Factors \\ 6. Subscripting \\ 7. Character Manipulation \\ 8. Data Aggregation \\ 9. Reshaping Data", subject = "Mathematical statistics; Data processing; Statistics; R (Computer programming language)", } @Article{Staniswalis:2008:IMC, author = "Joan G. Staniswalis", title = "Incorporating Marginal Covariate Information in a Nonparametric Regression Model for a Sample of {R} $ \times $ {C} Tables", journal = j-BIOMETRICS, volume = "64", number = "4", pages = "1054--1061", month = dec, year = "2008", CODEN = "BIOMB6", DOI = "https://doi.org/10.1111/j.1541-0420.2008.00997.x", ISSN = "0006-341X (print), 1541-0420 (electronic)", ISSN-L = "0006-341X", bibdate = "Thu Jun 25 10:48:17 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, ajournal = "Biometrics", fjournal = "Biometrics", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420", onlinedate = "24 November 2008", } @Book{Ugarte:2008:PSR, author = "Mar{\'\i}a Dolores Ugarte and Ana F. Militino and Alan T. Arnholt", title = "Probability and statistics with {R}", publisher = pub-CRC, address = pub-CRC:adr, pages = "xxvi + 700", year = "2008", ISBN = "1-58488-891-1", ISBN-13 = "978-1-58488-891-8", LCCN = "QA273.19.E4 U53 2008", bibdate = "Sat Jun 13 10:38:52 MDT 2009", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", URL = "http://www.crcpress.com/product/isbn/9781584888918", acknowledgement = ack-nhfb, remark = "A Chapman and Hall book.", subject = "probabilities; data processing; statistics; R (computer programming language)", tableofcontents = "A Brief Introduction to S \\ The Basics of S \\ Using S \\ Data Sets \\ Data Manipulation \\ Probability Functions \\ Creating Functions \\ Programming Statements \\ Graphs \\ Exploring Data \\ What Is Statistics? \\ Data \\ Displaying Qualitative Data \\ Displaying Quantitative Data \\ Summary Measures of Location \\ Summary Measures of Spread \\ Bivariate Data \\ Multivariate Data (Lattice and Trellis Graphs) \\ General Probability and Random Variables \\ Introduction \\ Counting Rules \\ Probability \\ Random Variables \\ Univariate Probability Distributions \\ Introduction \\ Discrete Univariate Distributions \\ Continuous Univariate Distributions \\ Multivariate Probability Distributions \\ Joint Distribution of Two Random Variables \\ Independent Random Variables \\ Several Random Variables \\ Conditional Distributions \\ Expected Values, Covariance, and Correlation \\ Multinomial Distribution \\ Bivariate Normal Distribution \\ Sampling and Sampling Distributions \\ Sampling \\ Parameters \\ Estimators \\ Sampling Distribution of the Sample Mean \\ Sampling Distribution for a Statistic from an Infinite Population \\ Sampling Distributions Associated with the Normal Distribution \\ Point Estimation \\ Introduction \\ Properties of Point Estimators \\ Point Estimation Techniques \\ Confidence Intervals \\ Introduction \\ Confidence Intervals for Population Means \\ Confidence Intervals for Population Variances \\ Confidence Intervals Based on Large Samples \\ Hypothesis Testing \\ Introduction \\ Type I and Type II Errors \\ Power Function \\ Uniformly Most Powerful Test \\ -Value or Critical Level \\ Tests of Significance \\ Hypothesis Tests for Population Means \\ Hypothesis Tests for Population Variances \\ Hypothesis Tests for Population Proportions \\ Nonparametric Methods \\ Introduction \\ Sign Test \\ Wilcoxon Signed-Rank Test \\ The Wilcoxon Rank-Sum or the Mann Whitney U-Test \\ The Kruskal Wallis Test \\ Friedman Test for Randomized Block Designs \\ Goodness-of-Fit Tests \\ Categorical Data Analysis \\ Nonparametric Bootstrapping \\ Permutation Tests \\ Experimental Design \\ Introduction \\ Fixed-Effects Model \\ Analysis of Variance (ANOVA) for the One-Way Fixed-Effects Model \\ Power and the Noncentral F Distribution \\ Checking Assumptions \\ Fixing Problems \\ Multiple Comparisons of Means \\ Other Comparisons among the Means \\ Summary of Comparisons of Means \\ Random-Effects Model (Variance Components Model) \\ Randomized Complete Block Design \\ Two-Factor Factorial Design \\ Regression \\ Introduction \\ Simple Linear Regression \\ Multiple Linear Regression \\ Ordinary Least Squares \\ Properties of the Fitted Regression Line \\ Using Matrix Notation with Ordinary Least Squares \\ The Method of Maximum Likelihood \\ The Sampling Distribution of \\ ANOVA Approach to Regression \\ General Linear Hypothesis \\ Model Selection and Validation \\ Interpreting a Logarithmically Transformed Model \\ Qualitative Predictors \\ Estimation of the Mean Response for New Values Xh \\ Prediction and Sampling Distribution of New Observations Yh(new) \\ Simultaneous Confidence Intervals \\ Appendix A: S Commands \\ Appendix B: Quadratic Forms and Random Vectors and Matrices \\ Quadratic Forms \\ Random Vectors and Matrices \\ Variance of Random Vectors \\ References \\ Index", } @Book{Vinod:2008:HIE, author = "Hrishikesh D. Vinod", title = "Hands-on intermediate econometrics using {R}: templates for extending dozens of practical examples", publisher = pub-WORLD-SCI, address = pub-WORLD-SCI:adr, pages = "xxvii + 512", year = "2008", ISBN = "981-281-885-5, 981-4350-41-9", ISBN-13 = "978-981-281-885-0, 978-981-4350-41-9", LCCN = "HB141 .V56 2008", bibdate = "Thu Jul 10 09:55:20 MDT 2014", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", abstract = "This book explains how to use R software to teach econometrics by providing interesting examples, using actual data applied to important policy issues. It helps readers choose the best method from a wide array of tools and packages available. The data used in the examples along with R program snippets, illustrate the economic theory and sophisticated statistical methods extending the usual regression. The R program snippets are not merely given as black boxes, but include detailed comments which help the reader better understand the software steps and use them as templates for possible extension and modification.", acknowledgement = ack-nhfb, author-dates = "1939--", subject = "Econometrics; Computer programs; R (Computer program language); {\"O}konometrie.; R (Programm); {\"O}konometrie.; {\"O}konometrie; R (Programm); {\"O}konometrie.; Computer programs.; R (Computer program language)", tableofcontents = "Production Function and Regression Methods Using R \\ Univariate Time Series Analysis with R \\ Bivariate Time Series Analysis Including Stochastic Diffusion and Cointegration \\ Utility Theory and Empirical Implications \\ Vector Models for Multivariate Problems \\ Simultaneous Equation Models \\ Limited Dependent Variable (GLM) Models \\ Dynamic Optimization and Empirical Analysis of Consumer Behavior \\ Single, Double and Maximum Entropy Bootstrap and Inference \\ Generalized Least Squares, VARMA, and Estimating Functions \\ Box--Cox, Loess and Projection Pursuit Regression \\ Appendix", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:17 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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 {\tt S} was too slow to be practical in certain situations, and was found to handle some data sets incorrectly. We have implemented BARS in {\tt C} for the normal and Poisson cases, the latter being important in neurophysiological and other point-process applications. The {\tt 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 {\tt S} or {\tt R}.", acknowledgement = ack-nhfb, fjournal = "Journal of Statistical Software", journal-URL = "http://www.jstatsoft.org/", pubdates = "Submitted 2004-06-25; Accepted 2007-02-20", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Fri Jul 4 10:54:17 MDT 2008", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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{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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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{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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:40 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Book{Aitkin:2009:SMR, author = "Murray A. Aitkin and Brian Francis and John Hinde and Ross Darnell", title = "Statistical modelling in {R}", volume = "35", publisher = pub-OXFORD, address = pub-OXFORD:adr, pages = "xii + 576", year = "2009", ISBN = "0-19-921913-3 (paperback), 0-19-921914-1 (hardcover)", ISBN-13 = "978-0-19-921913-1 (paperback), 978-0-19-921914-8 (hardcover)", LCCN = "QA276.45.R3 S73 2009", bibdate = "Thu Apr 24 08:32:18 MDT 2014", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Oxford statistical science series", URL = "http://www.loc.gov/catdir/toc/ecip0824/2008031898.html", acknowledgement = ack-nhfb, subject = "R (Computer program language); Mathematical statistics; Data processing", tableofcontents = "Introducing R: Statistical packages and statistical modelling \\ Getting started in R \\ Reading data into R \\ Assignment and data generation \\ Displaying data \\ Data structures and the workspace \\ Transformations and data modification \\ Functions and suffixing \\ Structure functions \\ Mathematical functions \\ Logical operators \\ Control functions \\ Statistical functions \\ Random numbers \\ Suffixes in expressions \\ Extracting subsets of data \\ Recoding variates and factors into new factors \\ Graphical facilities \\ Text functions \\ Writing your own functions \\ Sorting and tabulation \\ Editing R code \\ Installing and using packages \\ Statistical Modelling and Inference: Statistical models \\ Types of variables \\ Population models \\ Random sampling \\ The likelihood function \\ Inference for single parameter models \\ Comparing two simple hypotheses \\ Information about a single parameter \\ Comparing a simple null hypothesis and a composite alternative \\ Inference with nuisance parameters \\ Profile likelihoods \\ Marginal likelihood for the variance \\ Likelihood normalizing transformations \\ Alternative test procedures \\ Bayes inference \\ Binomial model \\ Hypergeometric sampling from finite populations \\ The effect of the sample design on inference \\ The exponential family \\ Mean and variance \\ Generalized linear models \\ Maximum likelihood fitting of the GLM \\ Model comparisons through maximized likelihoods \\ Likelihood inference without models \\ Likelihoods for percentiles \\ Empirical likelihood \\ Regression and Analysis of Variance: An example \\ Strategies for model simplification \\ Stratified, weighted and clustered samples \\ Model criticism \\ Mis-specification of the probability distribution \\ Mis-specification of the link function \\ The occurrence of aberrant and influential observations \\ Mis-specification of the systematic part of the model \\ The Box-Cox transformation family \\ Modelling and background information \\ Link functions and transformations \\ Regression models for prediction \\ Model choice and mean square prediction error \\ Model selection through cross-validation \\ Reduction of complex regression models \\ Sensitivity of the Box-Cox transformation \\ The use of regression models for calibration \\ Measurement error in the explanatory variables \\ Factorial designs \\ Unbalanced cross-classifications \\ The Bennett hostility data \\ ANOVA of the cross-classification \\ Regression analysis of the cross-classification \\ Statistical package treatments of cross-classifications \\ Missing data \\ Approximate methods for missing data \\ Modelling of variance heterogeneity \\ Poison example \\ Tree example \\ Binary Response Data: Binary responses \\ Transformations and link functions \\ Profile likelihoods for functions of parameters \\ Model criticism \\ Mis-specification of the probability distribution \\ Mis-specification of the link function \\ The occurrence of aberrant and influential observations \\ Binary data with continuous covariates \\ Contingency table construction from binary data \\ The prediction of binary outcomes \\ Profile and conditional likelihoods in 2 x 2 tables \\ Three-dimensional contingency tables with a binary response \\ Prenatal care and infant mortality \\ Coronary heart disease \\ Multidimensional contingency tables with a binary response \\ Multinomial and Poisson Response Data: The Poisson distribution \\ Cross-classified counts \\ Multicategory responses \\ Multinomial logit model \\ The Poisson-multinomial relation \\ Fitting the multinomial logit model \\ Ordered response categories \\ Common slopes for the regressions \\ Linear trend over response categories \\ Proportional slopes \\ The continuation ratio model \\ Other models \\ An Example \\ Multinomial logit model \\ Continuation ratio model \\ Structured multinomial responses \\ Independent outcomes \\ Correlated outcomes \\ Survival Data: Introduction \\ The exponential distribution \\ Fitting the exponential distribution \\ Model criticism \\ Comparison with the normal family \\ Censoring \\ Likelihood function for censored observations \\ Probability plotting with censored data: the Kaplan-Meier estimator \\ The gamma distribution \\ Maximum likelihood with uncensored data \\ Maximum likelihood with censored data \\ Double modelling \\ The Weibull distribution \\ Maximum likelihood fitting of the Weibull distribution \\ The extreme value distribution \\ The reversed extreme value distribution \\ Survivor function plotting for the Weibull and extreme value distributions \\ The Cox proportional hazards model and the piecewise exponential distribution \\ Maximum likelihood fitting of the piecewise exponential distribution \\ Examples \\ The logistic and log-logistic distributions \\ The normal and lognormal distributions \\ Evaluating the proportional hazard assumption \\ Competing risks \\ Time-dependent explanatory variables \\ Discrete time models \\ Finite Mixture Models: Introduction \\ Example \\ girl birthweights \\ Finite mixtures of distributions \\ Maximum likelihood in finite mixtures \\ Standard errors \\ Testing for the number of components \\ Example \\ Likelihood 'spikes' \\ Galaxy data \\ Kernel density estimates \\ Random Effect Models: Overdispersion \\ Testing for overdispersion \\ Conjugate random effects \\ Normal kernel: the t-distribution \\ Poisson kernel: the negative binomial distribution \\ Binomial kernel: beta-binomial distribution \\ Gamma kernel \\ Difficulties with the conjugate approach \\ Normal random effects \\ Predicting from the normal random effect model \\ Gaussian quadrature examples \\ Overdispersion model fitting \\ Poisson \\ the fabric fault data \\ Binomial \\ the toxoplasmosis data \\ Other specified random effect distributions \\ Arbitrary random effects \\ Examples \\ The fabric fault data \\ The toxoplasmosis data \\ Leukaemia remission data \\ The Brownlee stack-loss data \\ Random coefficient regression models \\ Example \\ the fabric fault data \\ Algorithms for mixture fitting \\ The trypanosome data \\ Modelling the mixing probabilities \\ Mixtures of mixtures \\ Variance Component Models: Models with shared random effects \\ The normal/normal model \\ Exponential family two-level models \\ Other approaches \\ NPML estimation of the masses and mass-points \\ Random coefficient models \\ Variance component model fitting \\ Children's height development \\ Multi-centre trial of beta-blockers \\ Longitudinal study of obesity \\ Autoregressive random effect models \\ Latent variable models \\ The normal factor model \\ IRT models \\ The Rasch model \\ The two-parameter model \\ The three-parameter logit (3PL) model \\ Example \\ The Law School Aptitude Test (LSAT) \\ Spatial dependence \\ Multivariate correlated responses \\ Discreteness of the NPML estimate", } @Book{Albert:2009:BCR, author = "Jim Albert", title = "{Bayesian} computation with {R}", publisher = pub-SV, address = pub-SV:adr, edition = "Second", pages = "xii + 298", year = "2009", ISBN = "0-387-92297-0 (paperback)", ISBN-13 = "978-0-387-92297-3 (paperback)", LCCN = "QA279.5 .A53 2009", bibdate = "Sat Jun 13 09:47:24 MDT 2009", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.bibsys.no:2100/BIBSYS", series = "Use R", acknowledgement = ack-nhfb, author-dates = "1953--", subject = "Bayesian statistical decision theory; Data processing; R (Computer program language)", } @Article{Anonymous:2009:BRBf, author = "Anonymous", title = "Book Review: {{\booktitle{Introductory Statistics With R}} (2nd ed.) by Peter Dalgaard}", journal = j-TECHNOMETRICS, volume = "51", number = "2", pages = "225--225", month = may, year = "2009", CODEN = "TCMTA2", DOI = "https://doi.org/10.2307/40586615", ISSN = "0040-1706 (print), 1537-2723 (electronic)", ISSN-L = "0040-1706", bibdate = "Sat Jun 21 13:21:29 MDT 2014", bibsource = "http://www.jstor.org/journals/00401706.html; http://www.jstor.org/stable/i40025248; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib", URL = "http://www.jstor.org/stable/40586615", acknowledgement = ack-nhfb, fjournal = "Technometrics", journal-URL = "http://www.jstor.org/journals/00401706.html", } @Article{Anonymous:2009:BRN, author = "Anonymous", title = "Book Review: {{\booktitle{Nonlinear Regression with R}}, by Ritz, C. and Streibig, J. C.}", journal = j-BIOMETRICS, volume = "65", number = "3", pages = "1001--1001", month = sep, year = "2009", CODEN = "BIOMB6", DOI = "https://doi.org/10.1111/j.1541-0420.2009.01315_16.x", ISSN = "0006-341X (print), 1541-0420 (electronic)", ISSN-L = "0006-341X", bibdate = "Thu Jun 25 10:48:20 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, ajournal = "Biometrics", fjournal = "Biometrics", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420", onlinedate = "14 September 2009", } @Article{Anonymous:2009:BRRb, author = "Anonymous", title = "Book Review: {{\booktitle{R for SAS and SPSS Users}}, by Muenchen, R. A.}", journal = j-BIOMETRICS, volume = "65", number = "4", pages = "1313--1313", month = dec, year = "2009", CODEN = "BIOMB6", DOI = "https://doi.org/10.1111/j.1541-0420.2009.01343_11.x", ISSN = "0006-341X (print), 1541-0420 (electronic)", ISSN-L = "0006-341X", bibdate = "Thu Jun 25 10:48:21 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/sas.bib; https://www.math.utah.edu/pub/tex/bib/spss.bib", acknowledgement = ack-nhfb, ajournal = "Biometrics", fjournal = "Biometrics", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420", onlinedate = "23 November 2009", } @Article{Anonymous:2009:BRSc, author = "Anonymous", title = "Book Review: {{\booktitle{Software for Data Analysis: Programming with R}}, by Chambers, J. M.}", journal = j-BIOMETRICS, volume = "65", number = "4", pages = "1313--1313", month = dec, year = "2009", CODEN = "BIOMB6", DOI = "https://doi.org/10.1111/j.1541-0420.2009.01343_10.x", ISSN = "0006-341X (print), 1541-0420 (electronic)", ISSN-L = "0006-341X", bibdate = "Thu Jun 25 10:48:21 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, ajournal = "Biometrics", fjournal = "Biometrics", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420", onlinedate = "23 November 2009", } @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 {{\tt AdMit}}", journal = j-J-STAT-SOFT, volume = "29", number = "3", pages = "??--??", month = jan, year = "2009", CODEN = "JSSOBK", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Barros:2009:RIG, author = "Michelli Barros and Gilberto A. Paula and V{\'\i}ctor Leiva", title = "An {R} implementation for generalized {Birnbaum--Saunders} distributions", journal = j-COMPUT-STAT-DATA-ANAL, volume = "53", number = "4", pages = "1511--1528", day = "15", month = feb, year = "2009", CODEN = "CSDADW", ISSN = "0167-9473 (print), 1872-7352 (electronic)", ISSN-L = "0167-9473", bibdate = "Fri Feb 6 11:42:39 MST 2015", bibsource = "https://www.math.utah.edu/pub/tex/bib/computstatdataanal2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.sciencedirect.com/science/article/pii/S0167947308005434", acknowledgement = ack-nhfb, fjournal = "Computational Statistics \& Data Analysis", journal-URL = "http://www.sciencedirect.com/science/journal/01679473", } @Book{Basso:2009:PTS, author = "Dario Basso and Fortunato Pesarin and Luigi Salmaso and Aldo Solari", title = "Permutation Tests for Stochastic Ordering and {ANOVA}: Theory and Applications with {R}", volume = "194", publisher = pub-SV, address = pub-SV:adr, pages = "xiii + 217", year = "2009", ISBN = "0-387-85955-1 (paperback), 0-387-85956-X (e-book)", ISBN-13 = "978-0-387-85955-2 (paperback), 978-0-387-85956-9 (e-book)", LCCN = "QA165 .P437 2009", bibdate = "Thu Jul 10 09:48:10 MDT 2014", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Lecture notes in statistics", abstract = "Permutation testing for multivariate stochastic ordering and ANOVA designs is a fundamental issue in many scientific fields such as medicine, biology, pharmaceutical studies, engineering, economics, psychology, and social sciences. This book presents new advanced methods and related R codes to perform complex multivariate analyses. The prerequisites are a standard course in statistics and some background in multivariate analysis and R software. Dario Basso is a Post Doctoral Fellow at the Department of Management and Engineering of University of Padova His main research interests include permutation tests and design of experiments. Fortunato Pesarin is Full Professor of Statistics at the Department of Statistics of the University of Padova. His main research interests include nonparametric methods, bootstrap methods, and permutation tests. He has?published a leading book on multivariate permutation tests based on nonparametric combination methodology. Luigi Salmaso is Associate Professor of Statistics at the Department of Management and Engineering of the University of Padova. His main research interests include permutation methods, multiple tests, and design of experiments. He has published more than 70 papers on permutation methods and design of experiments in international peer-reviewed journals. Aldo Solari is a Post Doctoral Fellow at the Department of Chemical Process Engineering of the University of Padova. His main research interest is resampling-based multiple testing methods.", acknowledgement = ack-nhfb, subject = "Permutations; Stochastic orders; Analysis of variance; R (Computer program language)", tableofcontents = "Permutation tests \\ Ordinal data \\ Multivariate ordinal data \\ Multivariate continuous data \\ Non-parametric one-way ANOVA \\ Synchronized permutation tests in two-way ANOVA \\ Permutation tests for unreplicated factorial designs", } @Article{Benaglia:2009:MRP, author = "Tatiana Benaglia and Didier Chauveau and David R. Hunter and Derek S. Young", title = "{\tt mixtools}: An {R} Package for Analyzing Mixture Models", journal = j-J-STAT-SOFT, volume = "32", number = "6", pages = "??--??", month = oct, year = "2009", CODEN = "JSSOBK", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Berry:2009:BRB, author = "Diane Berry", title = "Book Review: {{\booktitle{R Programming for Bioinformatics}}, by R. Gentleman}", journal = j-J-R-STAT-SOC-SER-A-STAT-SOC, volume = "172", number = "3", pages = "696--696", month = jun, year = "2009", CODEN = "JSSAEF", DOI = "https://doi.org/10.1111/j.1467-985X.2009.00595_5.x; https://doi.org/10.2307/20622535", ISSN = "0964-1998 (print), 1467-985X (electronic)", ISSN-L = "0964-1998", bibdate = "Mon Jan 26 13:24:15 MST 2015", bibsource = "http://www.jstor.org/stable/i20622520; https://www.math.utah.edu/pub/tex/bib/jrss-a-2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstor.org/stable/20622535", acknowledgement = ack-nhfb, fjournal = "Journal of the Royal Statistical Society. Series A (Statistics in Society)", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-985X; http://www.jstor.org/journals/09641998.html", onlinedate = "18 May 2009", } @Article{Bornkamp:2009:MRP, author = "Bj{\"o}rn Bornkamp and Jos{\'e} Pinheiro and Frank Bretz", title = "{{\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Boshnakov:2009:BRT, author = "Georgi N. Boshnakov", title = "Book Review: {{\booktitle{Time series analysis with applications in R series}}: Springer texts in statistics, 2nd edition}", journal = j-J-TIME-SER-ANAL, volume = "30", number = "6", pages = "708--709", month = nov, year = "2009", CODEN = "JTSADL", DOI = "https://doi.org/10.1111/j.1467-9892.2009.00625.x", ISSN = "0143-9782 (print), 1467-9892 (electronic)", ISSN-L = "0143-9782", bibdate = "Tue Mar 5 16:29:26 MST 2019", bibsource = "https://www.math.utah.edu/pub/tex/bib/jtimeseranal.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, fjournal = "Journal of Time Series Analysis", journal-URL = "https://onlinelibrary.wiley.com/journal/14679892", onlinedate = "16 October 2009", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Book{Broman:2009:GQM, author = "Karl W. Broman and Saunak Sen", title = "A Guide to {QTL} Mapping with {R/qtl}", publisher = pub-SV, address = pub-SV:adr, pages = "xv + 396", year = "2009", DOI = "https://doi.org/10.1007/978-0-387-92125-9", ISBN = "0-387-92124-9 (hardcover), 0-387-92125-7 (e-book)", ISBN-13 = "978-0-387-92124-2 (hardcover), 978-0-387-92125-9 (e-book)", ISSN = "1431-8776", LCCN = "QH447 .B755 2009", bibdate = "Sat Jun 27 08:49:22 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Statistics for biology and health", acknowledgement = ack-nhfb, subject = "Genomics; Statistical methods; Gene mapping; Chromosome Mapping; methods; Quantitative Trait Loci; genetics; statistics and numerical data; G\'enomique; Statistiques; Cartographie chromosomique; G\'en\'etique; statistiques et donn\'ees num\'eriques; Bioinformatik; QTL; R (Programm)", tableofcontents = "Introduction \\ Importing and simulating data \\ Data checking \\ Single-QTL analysis \\ Non-normal phenotypes \\ Experimental design and power \\ Working with covariates \\ Two-dimensional, two-QTL scans \\ Fit and exploration of multiple-QTL models \\ Case study I \\ Case study II \\ A. Installing R and R/qtl \\ B. List of functions in R/qtl \\ C. QTL mapping data sets \\ D. Hidden Markov models for QTL mapping", } @Article{Buckeridge:2009:BRS, author = "David Buckeridge", title = "Book Review: {{\booktitle{Statistical Methods for Environmental Epidemiology with R: a Case Study in Air Pollution and Health}}, by Peng, R. D. and Dominici, F.}", journal = j-BIOMETRICS, volume = "65", number = "3", pages = "996--997", month = sep, year = "2009", CODEN = "BIOMB6", DOI = "https://doi.org/10.1111/j.1541-0420.2009.01315_10.x", ISSN = "0006-341X (print), 1541-0420 (electronic)", ISSN-L = "0006-341X", bibdate = "Thu Jun 25 10:48:20 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, ajournal = "Biometrics", fjournal = "Biometrics", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420", onlinedate = "14 September 2009", } @Article{Burr:2009:BRBa, author = "Thomas L. Burr", title = "Book Review: {{\booktitle{Simulation and Inference for Stochastic Differential Equations With R Examples}} by Stefano Iacus}", journal = j-TECHNOMETRICS, volume = "51", number = "3", pages = "340--341", month = aug, year = "2009", CODEN = "TCMTA2", DOI = "https://doi.org/10.2307/40586630", ISSN = "0040-1706 (print), 1537-2723 (electronic)", ISSN-L = "0040-1706", bibdate = "Sat Jun 21 13:21:30 MDT 2014", bibsource = "http://www.jstor.org/journals/00401706.html; http://www.jstor.org/stable/i40025249; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib", URL = "http://www.jstor.org/stable/40586630", acknowledgement = ack-nhfb, fjournal = "Technometrics", journal-URL = "http://www.jstor.org/journals/00401706.html", } @Article{Campbell:2009:BRS, author = "Dave Campbell", title = "Book Review: {{\booktitle{Simulation and Inference for Stochastic Differential Equations with R Examples}}, by Iacus, S. M.}", journal = j-BIOMETRICS, volume = "65", number = "1", pages = "335--336", month = mar, year = "2009", CODEN = "BIOMB6", DOI = "https://doi.org/10.1111/j.1541-0420.2009.01208_10.x", ISSN = "0006-341X (print), 1541-0420 (electronic)", ISSN-L = "0006-341X", bibdate = "Thu Jun 25 10:48:18 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, ajournal = "Biometrics", fjournal = "Biometrics", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420", onlinedate = "17 March 2009", } @Article{Chopin:2009:BRJ, author = "Nicolas Chopin", title = "Book Review: {Jim Albert: \booktitle{Bayesian computation with R}}", journal = j-STAT-COMPUT, volume = "19", number = "1", pages = "111--112", month = mar, year = "2009", CODEN = "STACE3", DOI = "https://doi.org/10.1007/s11222-008-9069-8", ISSN = "0960-3174 (print), 1573-1375 (electronic)", ISSN-L = "0960-3174", bibdate = "Sat Jan 31 12:22:09 MST 2015", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/statcomput.bib", URL = "http://link.springer.com/accesspage/article/10.1007/s11222-008-9069-8", acknowledgement = ack-nhfb, fjournal = "Statistics and Computing", journal-URL = "http://link.springer.com/journal/11222", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Book{Clarke:2009:PTD, author = "Bertrand Salem Clarke and Ernest Fokou{\'e} and Hao Helen Zhang", title = "Principles and Theory for Data Mining and Machine Learning", volume = "??", publisher = pub-SV, address = pub-SV:adr, pages = "xv + 781", year = "2009", CODEN = "????", DOI = "https://doi.org/10.1007/978-0-387-98135-2", ISBN = "0-387-98134-9, 0-387-98135-7 (e-book)", ISBN-13 = "978-0-387-98134-5, 978-0-387-98135-2 (e-book)", ISSN = "0172-7397", ISSN-L = "0172-7397", LCCN = "QA76.9.D343 C53 2009", bibdate = "Thu Jun 19 06:41:21 MDT 2014", bibsource = "https://www.math.utah.edu/pub/tex/bib/probstat2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", series = "Springer Series in Statistics", URL = "http://link.springer.com/book/10.1007/978-0-387-98135-2", abstract = "This book is a thorough introduction to the most important topics in data mining and machine learning. It begins with a detailed review of classical function estimation and proceeds with chapters on nonlinear regression, classification, and ensemble methods. The final chapters focus on clustering, dimension reduction, variable selection, and multiple comparisons. All these topics have undergone extraordinarily rapid development in recent years and this treatment offers a modern perspective emphasizing the most recent contributions. The presentation of foundational results is detailed and includes many accessible proofs not readily available outside original sources. While the orientation is conceptual and theoretical, the main points are regularly reinforced by computational comparisons. Intended primarily as a graduate level textbook for statistics, computer science, and electrical engineering students, this book assumes only a strong foundation in undergraduate statistics and mathematics, and facility with using R packages. The text has a wide variety of problems, many of an exploratory nature. There are numerous computed examples, complete with code, so that further computations can be carried out readily. The book also serves as a handbook for researchers who want a conceptual overview of the central topics in data mining and machine learning. Bertrand Clarke is a Professor of Statistics in the Department of Medicine, Department of Epidemiology and Public Health, and the Center for Computational Sciences at the University of Miami. He has been on the Editorial Board of the Journal of the American Statistical Association, the Journal of Statistical Planning and Inference, and Statistical Papers. He is co-winner, with Andrew Barron, of the 1990 Browder J. Thompson Prize from the Institute of Electrical and Electronic Engineers. Ernest Fokoue is an Assistant Professor of Statistics at Kettering University. He has also taught at Ohio State University and been a long term visitor at the Statistical and Mathematical Sciences Institute where he was a Post-doctoral Research Fellow in the Data Mining and Machine Learning Program. In 2000, he was the winner of the Young Researcher Award from the International Association for Statistical Computing. Hao Helen Zhang is an Associate Professor of Statistics in the Department of Statistics at North Carolina State University. For 2003-2004, she was a Research Fellow at SAMSI and in 2007, she won a Faculty Early Career Development Award from the National Science Foundation. She is on the Editorial Board of the Journal of the American Statistical Association and Biometrics.", acknowledgement = ack-nhfb, remark = "Most volumes in this series are unnumbered.", series-URL = "http://link.springer.com/bookseries/692", subject = "Data mining; Machine learning; Artificial Intelligence; Data mining; Machine learning.", tableofcontents = "Variability, information, prediction \\ Kernel smoothing \\ Spline smoothing \\ New wave nonparametrics \\ Supervised learning: Partition methods \\ Alternative nonparametrics \\ Computational comparisons \\ Unsupervised learning: Clustering \\ Learning in high dimensions \\ Variable selection \\ Multiple testing", } @Book{Cowpertwait:2009:ITS, author = "Paul S. P. Cowpertwait and Andrew V. Metcalfe", title = "Introductory Time Series with {R}", publisher = pub-SV, address = pub-SV:adr, pages = "xv + 254", year = "2009", DOI = "https://doi.org/10.1007/978-0-387-88698-5", ISBN = "0-387-88697-4", ISBN-13 = "978-0-387-88697-8", LCCN = "QA280 .C69 2009", bibdate = "Tue Sep 6 08:09:31 MDT 2011", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Use R!", URL = "http://www.loc.gov/catdir/enhancements/fy1002/2009928496-d.htm; http://www.loc.gov/catdir/enhancements/fy1002/2009928496-t.htm", acknowledgement = ack-nhfb, shorttableofcontents = "1: Time Series Data / 1 \\ 2: Correlation / 27 \\ 3: Forecasting Strategies / 45 \\ 4: Basic Stochastic Models / 67 \\ 5: Regression / 91 \\ 6: Stationary Models / 121 \\ 7: Non-stationary Models / 137 \\ 8: Long-Memory Processes / 159 \\ 9: Spectral Analysis / 171 \\ 10: System Identification / 201 \\ 11: Multivariate Models / 211 \\ 12: State Space Models / 229 \\ References / 247 \\ Index / 249", subject = "time-series analysis; R (computer program language)", tableofcontents = "Preface / vii \\ 1: Time Series Data / 1 \\ 1.1 Purpose / 1 \\ 1.2 Time series / 2 \\ 1.3 R language / 3 \\ 1.4 Plots, trends, and seasonal variation / 4 \\ 1.4.1 A flying start: Air passenger bookings / 4 \\ 1.4.2 Unemployment: Maine / 7 \\ 1.4.3 Multiple time series: Electricity, beer and chocolate data / 10 \\ 1.4.4 Quarterly exchange rate: GBP to NZ dollar / 14 \\ 1.4.5 Global temperature series / 16 \\ 1.5 Decomposition of series / 19 \\ 1.5.1 Notation / 19 \\ 1.5.2 Models / 19 \\ 1.5.3 Estimating trends and seasonal effects / 20 \\ 1.5.4 Smoothing / 21 \\ 1.5.5 Decomposition in R / 22 \\ 1.6 Summary of commands used in examples / 24 \\ 1.7 Exercises / 24 \\ 2: Correlation / 27 \\ 2.1 Purpose / 27 \\ 2.2 Expectation and the ensemble / 27 \\ 2.2.1 Expected value / 27 \\ 2.2.2 The ensemble and stationarity / 30 \\ 2.2.3 Ergodic series* / 31 \\ 2.2.4 Variance function / 32 \\ 2.2.5 Autocorrelation / 33 \\ 2.3 The correlogram / 35 \\ 2.3.1 General discussion / 35 \\ 2.3.2 Example based on air passenger series / 37 \\ 2.3.3 Example based on the Font Reservoir series / 40 \\ 2.4 Covariance of sums of random variables / 41 \\ 2.5 Summary of commands used in examples / 42 \\ 2.6 Exercises / 42 \\ 3: Forecasting Strategies / 45 \\ 3.1 Purpose / 45 \\ 3.2 Leading variables and associated variables / 45 \\ 3.2.1 Marine coatings / 45 \\ 3.2.2 Building approvals publication / 46 \\ 3.2.3 Gas supply / 49 \\ 3.3 Bass model / 51 \\ 3.3.1 Background / 51 \\ 3.3.2 Model definition / 51 \\ 3.3.3 Interpretation of the Bass model* / 51 \\ 3.3.4 Example / 52 \\ 3.4 Exponential smoothing and the Holt--Winters method / 55 \\ 3.4.1 Exponential smoothing / 55 \\ 3.4.2 Holt--Winters method / 59 \\ 3.4.3 Four-year-ahead forecasts for the air passenger data / 62 \\ 3.5 Summary of commands used in examples / 64 \\ 3.6 Exercises / 64 \\ 4: Basic Stochastic Models / 67 \\ 4.1 Purpose / 67 \\ 4.2 White noise / 68 \\ 4.2.1 Introduction / 68 \\ 4.2.2 Definition / 68 \\ 4.2.3 Simulation in R / 68 \\ 4.2.4 Second-order properties and the correlogram / 69 \\ 4.2.5 Fitting a white noise model / 70 \\ 4.3 Random walks / 71 \\ 4.3.1 Introduction / 71 \\ 4.3.2 Definition / 71 \\ 4.3.3 The backward shift operator / 71 \\ 4.3.4 Random walk: Second-order properties / 72 \\ 4.3.5 Derivation of second-order properties* / 72 \\ 4.3.6 The difference operator / 72 \\ 4.3.7 Simulation / 73 \\ 4.4 Fitted models and diagnostic plots / 74 \\ 4.4.1 Simulated random walk series / 74 \\ 4.4.2 Exchange rate series / 75 \\ 4.4.3 Random walk with drift / 77 \\ 4.5 Autoregressive models / 79 \\ 4.5.1 Definition / 79 \\ 4.5.2 Stationary and non-stationary AR processes / 79 \\ 4.5.3 Second-order properties of an AR(1) model / 80 \\ 4.5.4 Derivation of second-order properties for an AR(1) process* / 80 \\ 4.5.5 Correlogram of an AR(1) process / 81 \\ 4.5.6 Partial autocorrelation / 81 \\ 4.5.7 Simulation / 81 \\ 4.6 Fitted models / 82 \\ 4.6.1 Model fitted to simulated series / 82 \\ 4.6.2 Exchange rate series: Fitted AR model / 84 \\ 4.6.3 Global temperature series: Fitted AR model / 85 \\ 4.7 Summary of R commands / 87 \\ 4.8 Exercises / 87 \\ 5: Regression / 91 \\ 5.1 Purpose / 91 \\ 5.2 Linear models / 92 \\ 5.2.1 Definition / 92 \\ 5.2.2 Stationarity / 93 \\ 5.2.3 Simulation / 93 \\ 5.3 Fitted models / 94 \\ 5.3.1 Model fitted to simulated data / 94 \\ 5.3.2 Model fitted to the temperature series (1970-2005) / 95 \\ 5.3.3 Autocorrelation and the estimation of sample statistics* / 96 \\ 5.4 Generalised least squares / 98 \\ 5.4.1 GLS fit to simulated series / 98 \\ 5.4.2 Confidence interval for the trend in the temperature series / 99 \\ 5.5 Linear models with seasonal variables / 99 \\ 5.5.1 Introduction / 99 \\ 5.5.2 Additive seasonal indicator variables / 99 \\ 5.5.3 Example: Seasonal model for the temperature series / 100 \\ 5.6 Harmonic seasonal models / 101 \\ 5.6.1 Simulation / 102 \\ 5.6.2 Fit to simulated series / 103 \\ 5.6.3 Harmonic model fitted to temperature series (1970-2005)105 5.7 Logarithmic transformations / 109 \\ 5.7.1 Introduction / 109 \\ 5.7.2 Example using the air passenger series / 109 \\ 5.8 Non-linear models / 113 \\ 5.8.1 Introduction / 113 \\ 5.8.2 Example of a simulated and fitted non-linear series / 113 \\ 5.9 Forecasting from regression / 115 \\ 5.9.1 Introduction / 115 \\ 5.9.2 Prediction in R / 115 \\ 5.10 Inverse transform and bias correction / 115 \\ 5.10.1 Log-normal residual errors / 115 \\ 5.10.2 Empirical correction factor for forecasting means / 117 \\ 5.10.3 Example using the air passenger data / 117 \\ 5.11 Summary of R commands / 118 \\ 5.12 Exercises / 118 \\ 6: Stationary Models / 121 \\ 6.1 Purpose / 121 \\ 6.2 Strictly stationary series / 121 \\ 6.3 Moving average models / 122 \\ 6.3.1 MA(g) process: Definition and properties / 122 \\ 6.3.2 R examples: Correlogram and simulation / 123 \\ 6.4 Fitted MA models / 124 \\ 6.4.1 Model fitted to simulated series / 124 \\ 6.4.2 Exchange rate series: Fitted MA model / 126 \\ 6.5 Mixed models: The ARMA process / 127 \\ 6.5.1 Definition / 127 \\ 6.5.2 Derivation of second-order properties* / 128 \\ 6.6 ARMA models: Empirical analysis / 129 \\ 6.6.1 Simulation and fitting / 129 \\ 6.6.2 Exchange rate series / 129 \\ 6.6.3 Electricity production series / 130 \\ 6.6.4 Wave tank data / 133 \\ 6.7 Summary of R commands / 135 \\ 6.8 Exercises / 135 \\ 7: Non-stationary Models / 137 \\ 7.1 Purpose / 137 \\ 7.2 Non-seasonal ARIMA models / 137 \\ 7.2.1 Differencing and the electricity series / 137 \\ 7.2.2 Integrated model / 138 \\ 7.2.3 Definition and examples / 139 \\ 7.2.4 Simulation and fitting / 140 \\ 7.2.5 IMA(1, 1) model fitted to the beer production series / 141 \\ 7.3 Seasonal ARIMA models / 142 \\ 7.3.1 Definition / 142 \\ 7.3.2 Fitting procedure / 143 \\ 7.4 ARCH models / 145 \\ 7.4.1 S&P500 series / 145 \\ 7.4.2 Modelling volatility: Definition of the ARCH model / 147 \\ 7.4.3 Extensions and GARCH models / 148 \\ 7.4.4 Simulation and fitted GARCH model / 149 \\ 7.4.5 Fit to S&P500 series / 150 \\ 7.4.6 Volatility in climate series / 152 \\ 7.4.7 GARCH in forecasts and simulations / 155 \\ 7.5 Summary of R commands / 155 \\ 7.6 Exercises / 155 \\ 8: Long-Memory Processes / 159 \\ 8.1 Purpose / 159 \\ 8.2 Fractional differencing / 159 \\ 8.3 Fitting to simulated data / 161 \\ 8.4 Assessing evidence of long-term dependence / 164 \\ 8.4.1 Nile minima / 164 \\ 8.4.2 Bellcore Ethernet data / 165 \\ 8.4.3 Bank loan rate / 166 \\ 8.5 Simulation / 167 \\ 8.6 Summary of additional commands used / 168 \\ 8.7 Exercises / 168 \\ 9: Spectral Analysis / 171 \\ 9.1 Purpose / 171 \\ 9.2 Periodic signals / 171 \\ 9.2.1 Sine waves / 171 \\ 9.2.2 Unit of measurement of frequency / 172 \\ 9.3 Spectrum / 173 \\ 9.3.1 Fitting sine waves / 173 \\ 9.3.2 Sample spectrum / 175 \\ 9.4 Spectra of simulated series / 175 \\ 9.4.1 White noise / 175 \\ 9.4.2 AR(1): Positive coefficient / 177 \\ 9.4.3 AR(1): Negative coefficient / 178 \\ 9.4.4 AR(2) / 178 \\ 9.5 Sampling interval and record length / 179 \\ 9.5.1 Nyquist frequency / 181 \\ 9.5.2 Record length / 181 \\ 9.6 Applications / 183 \\ 9.6.1 Wave tank data / 183 \\ 9.6.2 Fault detection on electric motors / 183 \\ 9.6.3 Measurement of vibration dose / 184 \\ 9.6.4 Climatic indices / 187 \\ 9.6.5 Bank loan rate / 189 \\ 9.7 Discrete Fourier transform (DFT)* / 190 \\ 9.8 The spectrum of a random process* / 192 \\ 9.8.1 Discrete white noise / 193 \\ 9.8.2 AR / 193 \\ 9.8.3 Derivation of spectrum / 193 \\ 9.9 Autoregressive spectrum estimation / 194 \\ 9.10 Finer details / 194 \\ 9.10.1 Leakage / 194 \\ 9.10.2 Confidence intervals / 195 \\ 9.10.3 Daniell windows / 196 \\ 9.10.4 Padding / 196 \\ 9.10.5 Tapering / 197 \\ 9.10.6 Spectral analysis compared with wavelets / 197 \\ 9.11 Summary of additional commands used / 197 \\ 9.12 Exercises / 198 \\ 10: System Identification / 201 \\ 10.1 Purpose / 201 \\ 10.2 Identifying the gain of a linear system / 201 \\ 10.2.1 Linear system / 201 \\ 10.2.2 Natural frequencies / 202 \\ 10.2.3 Estimator of the gain function / 202 \\ 10.3 Spectrum of an AR(p) process / 203 \\ 10.4 Simulated single mode of vibration system / 203 \\ 10.5 Ocean-going tugboat / 205 \\ 10.6 Non-linearity / 207 \\ 10.7 Exercises / 208 \\ 11: Multivariate Models / 211 \\ 11.1 Purpose / 211 \\ 11.2 Spurious regression / 211 \\ 11.3 Tests for unit roots / 214 \\ 11.4 Cointegration / 216 \\ 11.4.1 Definition / 216 \\ 11.4.2 Exchange rate series / 218 \\ 11.5 Bivariate and multivariate white noise / 219 \\ 11.6 Vector autoregressive models / 220 \\ 11.6.1 VAR model fitted to US economic series / 222 \\ 11.7 Summary of R commands / 227 \\ 11.8 Exercises / 227 \\ 12: State Space Models / 229 \\ 12.1 Purpose / 229 \\ 12.2 Linear state space models / 230 \\ 12.2.1 Dynamic linear model / 230 \\ 12.2.2 Filtering* / 231 \\ 12.2.3 Prediction* / 232 \\ 12.2.4 Smoothing* / 233 \\ 12.3 Fitting to simulated univariate time series / 234 \\ 12.3.1 Random walk plus noise model / 234 \\ 12.3.2 Regression model with time-varying coefficients / 236 \\ 12.4 Fitting to univariate time series / 238 \\ 12.5 Bivariate time series - river salinity / 239 \\ 12.6 Estimating the variance matrices / 242 \\ 12.7 Discussion / 243 \\ 12.8 Summary of additional commands used / 244 \\ 12.9 Exercises / 244 \\ References / 247 \\ Index / 249", } @Article{Cule:2009:LRP, author = "Madeleine Cule and Robert B. Gramacy and Richard Samworth", title = "{{\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Dahl:2009:RAR, author = "David B. Dahl and Scott Crawford", title = "{{\tt RinRuby}}: Accessing the {R} Interpreter from Pure {Ruby}", journal = j-J-STAT-SOFT, volume = "29", number = "4", pages = "??--??", month = jan, year = "2009", CODEN = "JSSOBK", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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{deLeeuw:2009:GMO, author = "Jan de Leeuw and Patrick Mair", title = "{Gifi} Methods for Optimal Scaling in {R}: The Package {\tt homals}", journal = j-J-STAT-SOFT, volume = "31", number = "4", pages = "??--??", month = aug, year = "2009", CODEN = "JSSOBK", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{deLeeuw:2009:SCC, author = "Jan de Leeuw and Patrick Mair", title = "Simple and Canonical Correspondence Analysis Using the {R} Package {\tt anacor}", journal = j-J-STAT-SOFT, volume = "31", number = "5", pages = "??--??", month = aug, year = "2009", CODEN = "JSSOBK", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Deviere:2009:ALD, author = "Elisabeth D{\'e}vi{\`e}re", title = "Analyzing linguistic data: a practical introduction to statistics using {R}", journal = j-J-APPL-STAT, volume = "36", number = "4", pages = "471--472", month = apr, year = "2009", CODEN = "????", ISSN = "0266-4763 (print), 1360-0532 (electronic)", ISSN-L = "0266-4763", bibdate = "Wed Aug 25 11:41:56 MDT 2010", bibsource = "http://www.tandf.co.uk/journals/routledge/02664763.html; https://www.math.utah.edu/pub/tex/bib/japplstat.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, fjournal = "Journal of Applied Statistics", journal-URL = "http://www.tandfonline.com/loi/cjas20", } @Manual{Dormann:2009:ASB, author = "Carsten F. Dormann and Ingolf K{\"u}hn", title = "{Angewandte Statistik f{\"u}r die biologischen Wissenschaften}. ({German}) [{Applied} Statistics for the Biological Sciences]", pages = "x + 245", year = "2009", bibdate = "Thu Jan 22 07:53:17 2015", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://cran.r-project.org/doc/contrib/Dormann+Kuehn_AngewandteStatistik.pdf", acknowledgement = ack-nhfb, language = "German", } @Article{Eddelbuettel:2009:BRBa, 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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{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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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{Eddelbuettel:2009:BRBc, 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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{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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Fewster:2009:BRE, author = "Rachel M. Fewster", title = "Book Review: {{\booktitle{Ecological Models and Data in R}}, by Bolker, B. M.}", journal = j-BIOMETRICS, volume = "65", number = "2", pages = "669--670", month = jun, year = "2009", CODEN = "BIOMB6", DOI = "https://doi.org/10.1111/j.1541-0420.2009.01247_11.x", ISSN = "0006-341X (print), 1541-0420 (electronic)", ISSN-L = "0006-341X", bibdate = "Thu Jun 25 10:48:19 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, ajournal = "Biometrics", fjournal = "Biometrics", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420", onlinedate = "28 May 2009", } @Book{Foulkes:2009:ASG, author = "Andrea S. Foulkes", title = "Applied Statistical Genetics with {R}: for Population-based Association Studies", publisher = pub-SV, address = pub-SV:adr, pages = "xxiii + 252", year = "2009", DOI = "https://doi.org/10.1007/978-0-387-89554-3", ISBN = "0-387-89553-1", ISBN-13 = "978-0-387-89553-6", LCCN = "QH438.4.S73 F68 2009", bibdate = "Thu Jul 10 09:30:31 MDT 2014", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Use R!", URL = "http://springerlink.com/openurl.asp?genre=book&isbn=978-0-387-89553-6; http://www.loc.gov/catdir/enhancements/fy0913/2009284624-d.html; http://www.loc.gov/catdir/enhancements/fy0913/2009284624-t.html", abstract = "The vast array of molecular level information now available presents exciting opportunities to characterize the genetic underpinnings of complex diseases while discovering novel biological pathways to disease progression. In this introductory graduate level text, Dr. Foulkes elucidates core concepts that undergird the wide range of analytic techniques and software tools for the analysis of data derived from population-based genetic investigations. Applied Statistical Genetics with R offers a clear and cogent presentation of several fundamental statistical approaches that researchers from multiple disciplines, including medicine, public health, epidemiology, statistics and computer science, will find useful in exploring this emerging field. Couched in the language of biostatistics, this text can be easily adopted for public health and medical school curricula. The text covers key genetic data concepts and statistical principles to provide the reader with a strong foundation in methods for candidate gene and genome-wide association studies. These include methods for unobservable haplotypic phase, multiple testing adjustments, and high-dimensional data analysis. Emphasis is on analysis of data arising from studies of unrelated individuals and the potential interplay among genetic factors and more traditional, epidemiological risk factors for disease. While theoretically rigorous, the analytic techniques are presented at a level that will appeal to researchers and students with limited knowledge of statistical genetics. The text assumes the reader has completed a first course in biostatistics, uses publicly available data sets for illustration, and provides extensive examples using the open source, publicly available statistical software environment R.", acknowledgement = ack-nhfb, subject = "Genetics; Statistical methods; R (Computer program language); Genetics, Population; methods; Epidemiologic Methods; Automatic Data Processing; Models, Statistical; Statistical methods.; R (Computer program language)", tableofcontents = "Genetic Association Studies \\ Overview of population-based investigations \\ Data components and terminology \\ Data examples \\ Elementary Statistical Principles \\ Background measures and tests of association \\ Analytic challenges \\ Genetic Data Concepts and Tests \\ Linkage disequilibrium (LD) \\ Hardy--Weinberg equilibrium (HWE) \\ Quality control and preprocessing \\ Multiple Comparison Procedures \\ Measures of error \\ Single-step and step-down adjustments \\ Resampling-based methods \\ Alternative paradigms \\ Methods for Unobservable Phase \\ Haplotype estimation \\ Estimating and testing for haplotype-trait association \\ Classification and Regression Trees \\ Building a tree \\ Optimal trees \\ Additional Topics in High-Dimensional Data Analysis \\ Random forests \\ Logic regression \\ Multivariate adaptive regression splines \\ Bayesian variable selection \\ Further readings", } @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 {\tt effects} Package", journal = j-J-STAT-SOFT, volume = "32", number = "1", pages = "??--??", month = oct, year = "2009", CODEN = "JSSOBK", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Fox:2009:VHT, author = "John Fox and Michael Friendly and Georges Monette", title = "Visualizing hypothesis tests in multivariate linear models: the \pkg{heplots} package for {R}", journal = j-COMP-STAT, volume = "24", number = "2", pages = "233--246", month = may, year = "2009", CODEN = "CSTAEB", DOI = "https://doi.org/10.1007/s00180-008-0120-1", ISSN = "0943-4062 (print), 1613-9658 (electronic)", ISSN-L = "0943-4062", bibdate = "Thu Jun 18 16:19:37 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://link.springer.com/article/10.1007/s00180-008-0120-1", acknowledgement = ack-nhfb, ajournal = "Comp. Stat.", fjournal = "Computational Statistics", journal-URL = "http://link.springer.com/journal/180", } @Book{Gentleman:2009:RPB, author = "Robert Gentleman", title = "{R} programming for bioinformatics", publisher = pub-CRC, address = pub-CRC:adr, pages = "xii + 314", year = "2009", ISBN = "1-4200-6367-7", ISBN-13 = "978-1-4200-6367-7", LCCN = "QH324.2 .G46 2009", bibdate = "Thu Jul 10 08:49:26 MDT 2014", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Chapman and Hall/CRC computer science and data analysis series", URL = "http://www.loc.gov/catdir/enhancements/fy0901/2008011352-d.html; http://www.loc.gov/catdir/toc/fy0805/2008011352.html", abstract = "The Bioconductor project was initiated in 2001 to provide a resource of R packages that specifically address bioinformatics problems. This book provides an overview of techniques to develop R programming skills for bioinformatics. It covers R language fundamentals, object-oriented programming in R, and foreign language interfaces.", acknowledgement = ack-nhfb, author-dates = "1959--", subject = "Bioinformatics; R (Computer program language)", tableofcontents = "Introducing R \\ R language fundamentals \\ Object-oriented programming in R \\ Input and output in R \\ Working with character data \\ Foreign language interfaces \\ R packages \\ Data technologies \\ Debugging and profiling", } @Article{Giorgino:2009:CVD, author = "Toni Giorgino", title = "Computing and Visualizing Dynamic Time Warping Alignments in {R}: The {\tt dtw} Package", journal = j-J-STAT-SOFT, volume = "31", number = "7", pages = "??--??", month = aug, year = "2009", CODEN = "JSSOBK", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Book{Giudici:2009:ADM, author = "Paolo Giudici and Silvia Figini", title = "Applied data mining for business and industry", publisher = pub-WILEY, address = pub-WILEY:adr, edition = "Second", pages = "viii + 249", year = "2009", ISBN = "0-470-05886-2 (cloth), 0-470-05887-0 (paperback), 0-470-74582-7 (e-book)", ISBN-13 = "978-0-470-05886-2 (cloth), 978-0-470-05887-9 (paperback), 978-0-470-74582-3 (e-book)", LCCN = "QA76.9.D343 G75 2009", bibdate = "Wed Sep 15 09:35:49 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", URL = "http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470058862.html", acknowledgement = ack-nhfb, subject = "data mining; business; data processing; commercial statistics", } @Article{Grasman:2009:FCC, author = "Raoul Grasman and Han L. J. van der Maas and Eric-Jan Wagenmakers", title = "Fitting the Cusp Catastrophe in {R}: a {\tt cusp} Package Primer", journal = j-J-STAT-SOFT, volume = "32", number = "8", pages = "??--??", month = nov, year = "2009", CODEN = "JSSOBK", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Harner:2009:JJR, author = "E. James Harner and Dajie Luo and Jun Tan", title = "{JavaStat}: a {Java\slash R}-based statistical computing environment", journal = j-COMP-STAT, volume = "24", number = "2", pages = "295--302", month = may, year = "2009", CODEN = "CSTAEB", DOI = "https://doi.org/10.1007/s00180-008-0131-y", ISSN = "0943-4062 (print), 1613-9658 (electronic)", ISSN-L = "0943-4062", bibdate = "Thu Jun 18 16:19:37 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib; https://www.math.utah.edu/pub/tex/bib/java2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://link.springer.com/article/10.1007/s00180-008-0131-y", acknowledgement = ack-nhfb, ajournal = "Comp. Stat.", fjournal = "Computational Statistics", journal-URL = "http://link.springer.com/journal/180", } @Book{Heiberger:2009:RTE, author = "Richard M. Heiberger and Erich Neuwirth", title = "{R} through {Excel}: a spreadsheet interface for statistics, data analysis, and graphics", publisher = pub-SV, address = pub-SV:adr, pages = "xxv + 342", year = "2009", ISBN = "1-4419-0051-9 (paperback), 1-4419-0052-7 (e-book)", ISBN-13 = "978-1-4419-0051-7 (paperback), 978-1-4419-0052-4 (e-book)", LCCN = "QA276.45.R3 H45 2009", bibdate = "Thu Jul 10 09:51:31 MDT 2014", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Use R!", acknowledgement = ack-nhfb, author-dates = "1945--", subject = "Microsoft Excel (Computer file); Microsoft Excel (Computer file); Mathematical statistics; Data processing; Graphical modeling (Statistics); R (Computer program language); EXCEL.; R (Programm); EXCEL.; R (Programm); Graphical modeling (Statistics); Data processing.; R (Computer program language)", tableofcontents = "1. Getting started \\ 2. Using RExcel and R Commander \\ 3. Getting data into R \\ 4. Normal and t distributions \\ 5. Normal and t workbook \\ 6. t-Tests \\ 7. One-way ANOVA \\ 8. Simple linear regression \\ 9. What is least squares? \\ 10. Multiple regression \\ two X-variables \\ 11. Polynomial regression \\ 12. Multiple regression \\ three or more X-variables \\ 13. Contingency tables and the chi-square test \\ A. Installation of RExcel \\ B. Nuisances \\ installation, startup, or execution", } @Article{Helmreich:2009:PRP, author = "James E. Helmreich and Robert M. Pruzek", title = "{{\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Book{Heritier:2009:RMB, editor = "Stephane Heritier and others", title = "Robust methods in biostatistics", publisher = pub-WILEY, address = pub-WILEY:adr, pages = "xiv + 268", year = "2009", ISBN = "0-470-02726-6 (cloth), 0-470-74054-X (e-book)", ISBN-13 = "978-0-470-02726-4 (cloth), 978-0-470-74054-5 (e-book)", LCCN = "QH323.5 .R615 2009", bibdate = "Wed Sep 15 09:35:27 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Wiley series in probability and statistics", URL = "http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470027266.html", acknowledgement = ack-nhfb, subject = "biometry; statistical methods; methods", tableofcontents = "Key measures and results \\ Linear regression \\ Mixed linear models \\ Generalized linear models \\ Marginal longitudinal data analysis \\ Survival analysis", } @Article{Hlynka:2009:BRBa, author = "Myron Hlynka", title = "Book Review: {{\booktitle{A First Course in Statistical Programming With R}} by W. John Braun; Duncan J. Murdoch}", journal = j-TECHNOMETRICS, volume = "51", number = "3", pages = "340--340", month = aug, year = "2009", CODEN = "TCMTA2", DOI = "https://doi.org/10.2307/40586629", ISSN = "0040-1706 (print), 1537-2723 (electronic)", ISSN-L = "0040-1706", bibdate = "Sat Jun 21 13:21:30 MDT 2014", bibsource = "http://www.jstor.org/journals/00401706.html; http://www.jstor.org/stable/i40025249; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib", URL = "http://www.jstor.org/stable/40586629", acknowledgement = ack-nhfb, fjournal = "Technometrics", journal-URL = "http://www.jstor.org/journals/00401706.html", } @Article{Hoef:2009:BRA, author = "Jay M. Ver Hoef", title = "Book Review: {{\booktitle{Applied Spatial Data Analysis with R}}. by Bivand, R. S., Pebesma, E. J., and Gomez-Rubio, V.}", journal = j-BIOMETRICS, volume = "65", number = "2", pages = "660--661", month = jun, year = "2009", CODEN = "BIOMB6", DOI = "https://doi.org/10.1111/j.1541-0420.2009.01247_1.x", ISSN = "0006-341X (print), 1541-0420 (electronic)", ISSN-L = "0006-341X", bibdate = "Thu Jun 25 10:48:19 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, ajournal = "Biometrics", fjournal = "Biometrics", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420", onlinedate = "28 May 2009", } @Article{Hoffmann:2009:FMA, author = "Thomas J. Hoffmann and Nan M. Laird", title = "{\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Book{Horgan:2009:PRI, author = "Jane M. Horgan", title = "Probability with {R}: an introduction with computer science applications", publisher = pub-WILEY, address = pub-WILEY:adr, pages = "xviii + 393", year = "2009", ISBN = "0-470-28073-5 (cloth)", ISBN-13 = "978-0-470-28073-7 (cloth)", LCCN = "QA76.9.M35 H863 2009", bibdate = "Wed Sep 15 09:37:35 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/benfords-law.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", URL = "http://www.loc.gov/catdir/toc/ecip0819/2008022817.html; http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470280735.html", acknowledgement = ack-nhfb, subject = "computer science; mathematics; probabilities; R (computer programming language)", } @Article{Hornik:2009:OSM, author = "Kurt Hornik and Christian Buchta and Achim Zeileis", title = "Open-source machine learning: {R} meets {Weka}", journal = j-COMP-STAT, volume = "24", number = "2", pages = "225--232", month = may, year = "2009", CODEN = "CSTAEB", DOI = "https://doi.org/10.1007/s00180-008-0119-7", ISSN = "0943-4062 (print), 1613-9658 (electronic)", ISSN-L = "0943-4062", bibdate = "Thu Jun 18 16:19:37 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib; https://www.math.utah.edu/pub/tex/bib/gnu.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://link.springer.com/article/10.1007/s00180-008-0119-7", acknowledgement = ack-nhfb, ajournal = "Comp. Stat.", fjournal = "Computational Statistics", journal-URL = "http://link.springer.com/journal/180", } @Article{Hu:2009:BRA, author = "Feifang Hu", title = "Book Review: {{\booktitle{Adaptive Design Theory and Implementation Using SAS and R}}, by Chang, M.}", journal = j-BIOMETRICS, volume = "65", number = "2", pages = "668--669", month = jun, year = "2009", CODEN = "BIOMB6", DOI = "https://doi.org/10.1111/j.1541-0420.2009.01247_10.x", ISSN = "0006-341X (print), 1541-0420 (electronic)", ISSN-L = "0006-341X", bibdate = "Thu Jun 25 10:48:19 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/sas.bib", acknowledgement = ack-nhfb, ajournal = "Biometrics", fjournal = "Biometrics", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420", onlinedate = "28 May 2009", } @Article{Johnson:2009:BRT, author = "Timothy D. Johnson", title = "Book Review: {{\booktitle{Time Series Analysis with Applications in R}}, 2nd edition by Cryer, J. D. and Chan, K.-S.}", journal = j-BIOMETRICS, volume = "65", number = "1", pages = "337--337", month = mar, year = "2009", CODEN = "BIOMB6", DOI = "https://doi.org/10.1111/j.1541-0420.2009.01208_12.x", ISSN = "0006-341X (print), 1541-0420 (electronic)", ISSN-L = "0006-341X", bibdate = "Thu Jun 25 10:48:18 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, ajournal = "Biometrics", fjournal = "Biometrics", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420", onlinedate = "17 March 2009", } @Book{Klemela:2009:SMD, author = "Jussi Klemel{\"a}", title = "Smoothing of multivariate data: density estimation and visualization", publisher = pub-WILEY, address = pub-WILEY:adr, pages = "xxvi + 603", year = "2009", ISBN = "0-470-29088-9", ISBN-13 = "978-0-470-29088-0", LCCN = "QA278 .K584 2009", bibdate = "Wed Sep 15 09:37:57 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Wiley series in probability and statistics", URL = "http://www.loc.gov/catdir/enhancements/fy1012/2008032166-b.html; http://www.loc.gov/catdir/enhancements/fy1012/2008032166-d.html; http://www.loc.gov/catdir/toc/ecip0824/2008032166.html; http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470290889.html", acknowledgement = ack-nhfb, subject = "smoothing (statistics); estimation theory; analysis of variance", } @Article{Komarek:2009:NRP, author = "Arno{\v{s}}t Kom{\'a}rek", title = "A new {R} package for {Bayesian} estimation of multivariate normal mixtures allowing for selection of the number of components and interval-censored data", journal = j-COMPUT-STAT-DATA-ANAL, volume = "53", number = "12", pages = "3932--3947", day = "1", month = oct, year = "2009", CODEN = "CSDADW", ISSN = "0167-9473 (print), 1872-7352 (electronic)", ISSN-L = "0167-9473", bibdate = "Fri Feb 6 11:42:34 MST 2015", bibsource = "https://www.math.utah.edu/pub/tex/bib/computstatdataanal2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.sciencedirect.com/science/article/pii/S0167947309001935", acknowledgement = ack-nhfb, fjournal = "Computational Statistics \& Data Analysis", journal-URL = "http://www.sciencedirect.com/science/journal/01679473", } @Article{laGrange:2009:BIB, author = "Anthony la Grange and Ni{\"e}l le Roux and Sugnet Gardner-Lubbe", title = "{{\tt BiplotGUI}}: Interactive Biplots in {R}", journal = j-J-STAT-SOFT, volume = "30", number = "12", pages = "??--??", month = jun, year = "2009", CODEN = "JSSOBK", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Lang:2009:MPA, author = "Duncan Temple Lang", title = "A modest proposal: an approach to making the internal {R} system extensible", journal = j-COMP-STAT, volume = "24", number = "2", pages = "271--281", month = may, year = "2009", CODEN = "CSTAEB", DOI = "https://doi.org/10.1007/s00180-008-0127-7", ISSN = "0943-4062 (print), 1613-9658 (electronic)", ISSN-L = "0943-4062", bibdate = "Thu Jun 18 16:19:37 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://link.springer.com/article/10.1007/s00180-008-0127-7", acknowledgement = ack-nhfb, ajournal = "Comp. Stat.", fjournal = "Computational Statistics", journal-URL = "http://link.springer.com/journal/180", } @Article{Lang:2009:WMD, author = "Duncan Temple Lang", title = "Working with meta-data from {C\slash C++} code in {R}: the \pkg{RGCCTranslationUnit} package", journal = j-COMP-STAT, volume = "24", number = "2", pages = "283--293", month = may, year = "2009", CODEN = "CSTAEB", DOI = "https://doi.org/10.1007/s00180-008-0128-6", ISSN = "0943-4062 (print), 1613-9658 (electronic)", ISSN-L = "0943-4062", bibdate = "Thu Jun 18 16:19:37 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://link.springer.com/article/10.1007/s00180-008-0128-6", acknowledgement = ack-nhfb, ajournal = "Comp. Stat.", fjournal = "Computational Statistics", journal-URL = "http://link.springer.com/journal/180", } @Article{Lawrence:2009:EGP, author = "Michael Lawrence and Hadley Wickham and Dianne Cook and Heike Hofmann and Deborah F. Swayne", title = "Extending the {GGobi} pipeline from {R}", journal = j-COMP-STAT, volume = "24", number = "2", pages = "195--205", month = may, year = "2009", CODEN = "CSTAEB", DOI = "https://doi.org/10.1007/s00180-008-0115-y", ISSN = "0943-4062 (print), 1613-9658 (electronic)", ISSN-L = "0943-4062", bibdate = "Thu Jun 18 16:19:37 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://link.springer.com/article/10.1007/s00180-008-0115-y", acknowledgement = ack-nhfb, ajournal = "Comp. Stat.", fjournal = "Computational Statistics", journal-URL = "http://link.springer.com/journal/180", } @Article{Lenth:2009:RSM, author = "Russell V. Lenth", title = "Response-Surface Methods in {R}, Using {\tt rsm}", journal = j-J-STAT-SOFT, volume = "32", number = "7", pages = "??--??", month = oct, year = "2009", CODEN = "JSSOBK", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Ligges:2009:BRC, author = "Uwe Ligges", title = "Book Review: {Crawley, M. J. (2007) \booktitle{The R Book}}", journal = j-STAT-PAPERS, volume = "50", number = "2", pages = "445--446", month = mar, year = "2009", CODEN = "STPAE4", DOI = "https://doi.org/10.1007/s00362-008-0118-3", ISSN = "0932-5026 (print), 1613-9798 (electronic)", ISSN-L = "0932-5026", bibdate = "Sun Feb 1 10:12:29 MST 2015", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/statpapers.bib", URL = "http://link.springer.com/accesspage/article/10.1007/s00362-008-0118-3", acknowledgement = ack-nhfb, fjournal = "Statistical Papers", journal-URL = "http://link.springer.com/journal/362", } @Article{Luoma:2009:SBR, author = "Arto Luoma", title = "Short Book Review: {{\booktitle{Simulation and Inference for Stochastic Differential Equations: With R Examples}} by Stefano M. Iacus}", journal = j-INT-STAT-REV, volume = "77", number = "1", pages = "163--163", month = apr, year = "2009", CODEN = "ISTRDP", DOI = "https://doi.org/10.1111/j.1751-5823.2009.00074_19.x; https://doi.org/10.2307/27919714", ISSN = "0306-7734 (print), 1751-5823 (electronic)", ISSN-L = "0306-7734", bibdate = "Wed Jun 18 06:26:23 MDT 2014", bibsource = "http://www.jstor.org/stable/i27919684; https://www.math.utah.edu/pub/tex/bib/intstatrev.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstor.org/stable/27919714", acknowledgement = ack-nhfb, fjournal = "International Statistical Review = Revue Internationale de Statistique", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823; http://www.jstor.org/journals/03067734.html", onlinedate = "26 Mar 2009", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Maindonald:2009:SBRb, author = "John H. Maindonald", title = "Short Book Review: {{\booktitle{Morphometrics with R}} by Julien Claude; Michel Baylac; Emmanuel Paradis; Tristan Stayton}", journal = j-INT-STAT-REV, volume = "77", number = "2", pages = "302--303", month = aug, year = "2009", CODEN = "ISTRDP", DOI = "https://doi.org/10.1111/j.1751-5823.2009.00085_3.x; https://doi.org/10.2307/27919731", ISSN = "0306-7734 (print), 1751-5823 (electronic)", ISSN-L = "0306-7734", bibdate = "Wed Jun 18 06:26:23 MDT 2014", bibsource = "http://www.jstor.org/stable/i27919718; https://www.math.utah.edu/pub/tex/bib/intstatrev.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstor.org/stable/27919731", acknowledgement = ack-nhfb, fjournal = "International Statistical Review = Revue Internationale de Statistique", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823; http://www.jstor.org/journals/03067734.html", onlinedate = "2 Jul 2009", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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{Meredith:2009:TRE, author = "Evan Meredith and Jeffrey S. Racine", title = "Towards reproducible econometric research: the {{\tt Sweave}} framework", journal = j-J-APPL-ECONOMETRICS, volume = "24", number = "2", pages = "366--374", month = mar, year = "2009", CODEN = "JAECET", DOI = "https://doi.org/10.1002/jae.1030", ISSN = "0883-7252 (print), 1099-1255 (electronic)", ISSN-L = "0883-7252", bibdate = "Sat Mar 9 10:20:23 MST 2019", bibsource = "https://www.math.utah.edu/pub/tex/bib/jappleconometrics.bib; https://www.math.utah.edu/pub/tex/bib/litprog.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, fjournal = "Journal of Applied Econometrics", journal-URL = "https://onlinelibrary.wiley.com/journal/10991255; https://www.jstor.org/journal/japplecon", onlinedate = "24 February 2009", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Morris:2009:BRW, author = "Jeffrey S. Morris", title = "Book Review: {{\booktitle{Wavelet Methods in Statistics with R}}, by Nason, G. P.}", journal = j-BIOMETRICS, volume = "65", number = "2", pages = "667--668", month = jun, year = "2009", CODEN = "BIOMB6", DOI = "https://doi.org/10.1111/j.1541-0420.2009.01247_9.x", ISSN = "0006-341X (print), 1541-0420 (electronic)", ISSN-L = "0006-341X", bibdate = "Thu Jun 25 10:48:19 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, ajournal = "Biometrics", fjournal = "Biometrics", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420", onlinedate = "28 May 2009", } @Book{Muenchen:2009:RSS, author = "Robert A. Muenchen", title = "{R} for {SAS} and {SPSS} users", publisher = pub-SV, address = pub-SV:adr, pages = "xvii + 470", year = "2009", ISBN = "0-387-09417-2", ISBN-13 = "978-0-387-09417-5", bibdate = "Sat Jun 13 09:29:38 MDT 2009", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.bibsys.no:2100/BIBSYS", series = "Statistics and computing", acknowledgement = ack-nhfb, subject = "SAS (computer file); SPSS (computer file); R (computer programming language)", tableofcontents = "1. Introduction \\ 2. The Five Main Parts of SAS and SPSS \\ 3. Programming Conventions \\ 4. Typographic Conventions \\ 5. Installing and Updating R \\ 6. Running R \\ 7. Help and Documentation \\ 8. Programming Language Basics \\ 9. Data Acquisition \\ 10. Selecting Variables --- Var, Variables = \\ 11. Selecting Observations --- Where, If, Select If, Filter \\ 12. Selecting Both Variables and Observations \\ 13. Converting Data Structures \\ 14. Data Management \\ 15. Value Labels or Formats (and Measurement Level) \\ 16. Variable Labels \\ 17. Generating Data \\ 18. How R Stores Data \\ 20. Graphics Overview \\ 21. Traditional Graphics \\ 22. Graphics with ggplot2 (GPL) \\ 23. Statistics \\ 24. Conclusion \\ App. A. A Glossary of R Jargon \\ App. B. A Comparison of SAS and SPSS Products with R Packages and Functions \\ App. C. Automating Your Settings \\ App. D. A comparison of the major attributes of SAS and SPSS to R", } @Article{Murrell:2009:IVG, author = "Paul Murrell", title = "Importing Vector Graphics: The {{\tt grImport}} Package for {R}", journal = j-J-STAT-SOFT, volume = "30", number = "4", pages = "??--??", month = apr, year = "2009", CODEN = "JSSOBK", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Murrell:2009:QCS, author = "Paul Murrell and Stephen Gardiner", title = "Quality Control for Statistical Graphics: The {{\tt graphicsQC}} Package for {R}", journal = j-J-STAT-SOFT, volume = "30", number = "1", pages = "??--??", month = apr, year = "2009", CODEN = "JSSOBK", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Murrell:2009:RG, author = "Paul Murrell", title = "{R} Graphics", journal = j-WIRES, volume = "2", number = "5", pages = "216--220", month = sep # "\slash " # oct, year = "2009", CODEN = "????", DOI = "https://doi.org/10.1002/wics.22", ISSN = "1939-0068 (print), 1939-5108 (electronic)", ISSN-L = "1939-0068", bibdate = "Fri Jun 19 13:49:33 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/wires.bib", acknowledgement = ack-nhfb, ajournal = "WIREs", fjournal = "WIREs Computational Statistics", journal-URL = "https://onlinelibrary.wiley.com/journal/19390068", onlinedate = "19 August 2009", } @Article{Myers:2009:BRBc, author = "Donald E. Myers", title = "Book Review: {{\booktitle{Applied Econometrics With R}} by Christian Klieber; Achim Zeileis}", journal = j-TECHNOMETRICS, volume = "51", number = "4", pages = "484--485", month = nov, year = "2009", CODEN = "TCMTA2", DOI = "https://doi.org/10.2307/40586665", ISSN = "0040-1706 (print), 1537-2723 (electronic)", ISSN-L = "0040-1706", bibdate = "Sat Jun 21 13:21:31 MDT 2014", bibsource = "http://www.jstor.org/journals/00401706.html; http://www.jstor.org/stable/i40025250; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib", URL = "http://www.jstor.org/stable/40586665", acknowledgement = ack-nhfb, fjournal = "Technometrics", journal-URL = "http://www.jstor.org/journals/00401706.html", } @Article{Ng:2009:BRB, author = "Hon Keung Tony Ng", title = "Book Review: {{\booktitle{Probability and Statistics With R}} by Maria Dolores Ugarte; Ana F. Militino; Alan T. Arnholt}", journal = j-TECHNOMETRICS, volume = "51", number = "2", pages = "220--220", month = may, year = "2009", CODEN = "TCMTA2", DOI = "https://doi.org/10.2307/40586606", ISSN = "0040-1706 (print), 1537-2723 (electronic)", ISSN-L = "0040-1706", bibdate = "Sat Jun 21 13:21:29 MDT 2014", bibsource = "http://www.jstor.org/journals/00401706.html; http://www.jstor.org/stable/i40025248; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib", URL = "http://www.jstor.org/stable/40586606", acknowledgement = ack-nhfb, fjournal = "Technometrics", journal-URL = "http://www.jstor.org/journals/00401706.html", } @Article{Nordhausen:2009:SBRb, author = "Klaus Nordhausen", title = "Short Book Review: {{\booktitle{A First Course in Statistical Programming with R}} by W. John Braun, Duncan J. Murdoch}", journal = j-INT-STAT-REV, volume = "77", number = "2", pages = "317--317", month = aug, year = "2009", CODEN = "ISTRDP", DOI = "https://doi.org/10.1111/j.1751-5823.2009.00085_19.x; https://doi.org/10.2307/27919747", ISSN = "0306-7734 (print), 1751-5823 (electronic)", ISSN-L = "0306-7734", bibdate = "Wed Jun 18 06:26:23 MDT 2014", bibsource = "http://www.jstor.org/stable/i27919718; https://www.math.utah.edu/pub/tex/bib/intstatrev.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstor.org/stable/27919747", acknowledgement = ack-nhfb, fjournal = "International Statistical Review = Revue Internationale de Statistique", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823; http://www.jstor.org/journals/03067734.html", onlinedate = "2 Jul 2009", } @Article{OBrien:2009:SBRd, author = "C. M. O'Brien", title = "Short Book Review: {{\booktitle{Wavelet Methods in Statistics with R}} by G. P. Nason}", journal = j-INT-STAT-REV, volume = "77", number = "1", pages = "159--159", month = apr, year = "2009", CODEN = "ISTRDP", DOI = "https://doi.org/10.1111/j.1751-5823.2009.00074_15.x; https://doi.org/10.2307/27919710", ISSN = "0306-7734 (print), 1751-5823 (electronic)", ISSN-L = "0306-7734", bibdate = "Wed Jun 18 06:26:23 MDT 2014", bibsource = "http://www.jstor.org/stable/i27919684; https://www.math.utah.edu/pub/tex/bib/intstatrev.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstor.org/stable/27919710", acknowledgement = ack-nhfb, fjournal = "International Statistical Review = Revue Internationale de Statistique", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823; http://www.jstor.org/journals/03067734.html", onlinedate = "26 Mar 2009", } @Article{OBrien:2009:SBRe, author = "C. M. O'Brien", title = "Short Book Review: {{\booktitle{Introduction to Scientific Programming and Simulation Using R}} by [E. Stuart] Owen-Jones, Robert Maillardet, Andrew Robinson}", journal = j-INT-STAT-REV, volume = "77", number = "3", pages = "471--471", month = dec, year = "2009", CODEN = "ISTRDP", DOI = "https://doi.org/10.1111/j.1751-5823.2009.00095_8.x; https://doi.org/10.2307/27919776", ISSN = "0306-7734 (print), 1751-5823 (electronic)", ISSN-L = "0306-7734", bibdate = "Wed Jun 18 06:26:23 MDT 2014", bibsource = "http://www.jstor.org/stable/i27919757; https://www.math.utah.edu/pub/tex/bib/intstatrev.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstor.org/stable/27919776", acknowledgement = ack-nhfb, fjournal = "International Statistical Review = Revue Internationale de Statistique", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823; http://www.jstor.org/journals/03067734.html", onlinedate = "29 Oct 2009", } @Article{OBrien:2009:SBRg, author = "C. M. O'Brien", title = "Short Book Review: {{\booktitle{Nonlinear Regression with R}} by Christian Ritz, Jens Carl Streibig}", journal = j-INT-STAT-REV, volume = "77", number = "3", pages = "473--473", month = dec, year = "2009", CODEN = "ISTRDP", DOI = "https://doi.org/10.1111/j.1751-5823.2009.00095_10.x; https://doi.org/10.2307/27919778", ISSN = "0306-7734 (print), 1751-5823 (electronic)", ISSN-L = "0306-7734", bibdate = "Wed Jun 18 06:26:23 MDT 2014", bibsource = "http://www.jstor.org/stable/i27919757; https://www.math.utah.edu/pub/tex/bib/intstatrev.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstor.org/stable/27919778", acknowledgement = ack-nhfb, fjournal = "International Statistical Review = Revue Internationale de Statistique", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823; http://www.jstor.org/journals/03067734.html", onlinedate = "29 Oct 2009", } @Book{Owen-Jones:2009:ISP, author = "E. Stuart Owen-Jones and Robert Maillardet and Andrew (Andrew P.) Robinson", title = "Introduction to scientific programming and simulation with using {R}", publisher = pub-CRC, address = pub-CRC:adr, pages = "xix + 453", year = "2009", ISBN = "1-4200-6872-5", ISBN-13 = "978-1-4200-6872-6", LCCN = "Q183.9 .J66 2009", bibdate = "Fri Nov 16 08:26:36 MST 2012", bibsource = "fsz3950.oclc.org:210/WorldCat; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, subject = "R (Langage de programmation); Sciences; Informatique; Simulation par ordinateur; Processus stochastiques; Mod{\`e}les math{\'e}matiques", tableofcontents = "I. Programming \\ Setting up \\ R as a calculating environment \\ Basic programming \\ I/O: input and output \\ Programming with functions \\ Sophisticated data structures \\ Better graphics \\ Pointers to further programming techniques \\ II. Numerical techniques \\ Numerical accuracy and program efficiency \\ Root-finding \\ Numerical integration \\ Optimisation \\ III. Probability and statistics \\ Probability \\ Random variables \\ Discrete random variables \\ Continuous random variables \\ Parameter estimation \\ Simulation \\ Monte-Carlo integration \\ Variance reduction \\ Case studies \\ Student projects \\ Glossary of R commands \\ Programs and functions developed in the text", } @Article{Parsons:2009:RMP, author = "Nick R. Parsons and Matthew L. Costa and Juul Achten and Nigel Stallard", title = "Repeated measures proportional odds logistic regression analysis of ordinal score data in the statistical software package {R}", journal = j-COMPUT-STAT-DATA-ANAL, volume = "53", number = "3", pages = "632--641", day = "15", month = jan, year = "2009", CODEN = "CSDADW", ISSN = "0167-9473 (print), 1872-7352 (electronic)", ISSN-L = "0167-9473", bibdate = "Fri Feb 6 11:42:37 MST 2015", bibsource = "https://www.math.utah.edu/pub/tex/bib/computstatdataanal2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.sciencedirect.com/science/article/pii/S0167947308003939", acknowledgement = ack-nhfb, fjournal = "Computational Statistics \& Data Analysis", journal-URL = "http://www.sciencedirect.com/science/journal/01679473", } @Book{Petris:2009:DLM, author = "Giovanni Petris and Sonia Petrone and Patrizia Campagnoli", title = "Dynamic Linear Models with {R}", publisher = pub-SV, address = pub-SV:adr, pages = "xiii + 251", year = "2009", ISBN = "0-387-77237-5, 0-387-77238-3", ISBN-13 = "978-0-387-77237-0, 978-0-387-77238-7", LCCN = "QA276.45.R3 P48 2009", bibdate = "Tue Sep 6 08:11:40 MDT 2011", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Use R!", URL = "http://www.loc.gov/catdir/enhancements/fy1108/2009926480-d.htm", acknowledgement = ack-nhfb, subject = "R (Computer program language); Linear models (Statistics); Data processing; State-space methods", tableofcontents = "Introduction: basic notions about Bayesian inference \\ Dynamic linear models \\ Model specification \\ Models with unknown parameters \\ Sequential Monte Carlo methods \\ Appendix A: Useful distributions \\ Appendix B: Matrix algebra: singular value decomposition", } @Article{Picka:2009:BRB, author = "Jeffrey Picka", title = "Book Review: {{\booktitle{Introduction to Probability With R}} by K. Baclawski}", journal = j-TECHNOMETRICS, volume = "51", number = "2", pages = "221--221", month = may, year = "2009", CODEN = "TCMTA2", DOI = "https://doi.org/10.2307/40586607", ISSN = "0040-1706 (print), 1537-2723 (electronic)", ISSN-L = "0040-1706", bibdate = "Sat Jun 21 13:21:29 MDT 2014", bibsource = "http://www.jstor.org/journals/00401706.html; http://www.jstor.org/stable/i40025248; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib", URL = "http://www.jstor.org/stable/40586607", acknowledgement = ack-nhfb, fjournal = "Technometrics", journal-URL = "http://www.jstor.org/journals/00401706.html", } @Article{Pienaar:2009:BRB, author = "Jacques A. Pienaar", title = "Book Review: {{\booktitle{Probability and statistics with R}}}", journal = j-J-APPL-STAT, volume = "36", number = "6", pages = "703--704", month = jun, year = "2009", CODEN = "????", ISSN = "0266-4763 (print), 1360-0532 (electronic)", ISSN-L = "0266-4763", bibdate = "Wed Aug 25 11:41:56 MDT 2010", bibsource = "http://www.tandf.co.uk/journals/routledge/02664763.html; https://www.math.utah.edu/pub/tex/bib/japplstat.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", note = "See \cite{Ugarte:2008:PSR}.", acknowledgement = ack-nhfb, fjournal = "Journal of Applied Statistics", journal-URL = "http://www.tandfonline.com/loi/cjas20", } @Article{Polasek:2009:BRP, author = "Wolfgang Polasek", title = "Book Review: {Phillip I. Good (2005): \booktitle{Introduction to Statistics Through Resampling Methods and R\slash S-PLUS (Paperback); Phillip I. Good (2005): \booktitle{Introduction to Statistics Through Resampling Methods and Microsoft Office Excel} (Paperback)}}", journal = j-STAT-PAPERS, volume = "50", number = "3", pages = "673--675", month = jun, year = "2009", CODEN = "STPAE4", DOI = "https://doi.org/10.1007/s00362-008-0131-6", ISSN = "0932-5026 (print), 1613-9798 (electronic)", ISSN-L = "0932-5026", bibdate = "Sun Feb 1 10:12:30 MST 2015", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/statpapers.bib", URL = "http://link.springer.com/article/10.1007/s00362-008-0131-6", acknowledgement = ack-nhfb, fjournal = "Statistical Papers", journal-URL = "http://link.springer.com/journal/362", } @Article{Polzehl:2009:SAS, author = "J{\"o}rg Polzehl and Karsten Tabelow", title = "Structural Adaptive Smoothing in Diffusion Tensor Imaging: The {R} Package {\tt dti}", journal = j-J-STAT-SOFT, volume = "31", number = "9", pages = "??--??", month = sep, year = "2009", CODEN = "JSSOBK", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Book{Ramsay:2009:FDA, author = "J. O. (James O.) Ramsay and Giles Hooker and Spencer Graves", title = "Functional Data Analysis with {R} and {MATLAB}", publisher = pub-SV, address = pub-SV:adr, pages = "xi + 207", year = "2009", ISBN = "0-387-98184-5 (paperback), 0-387-98185-3 (e-book)", ISBN-13 = "978-0-387-98184-0 (paperback), 978-0-387-98185-7 (e-book)", LCCN = "QA278 .R365 2009", bibdate = "Wed Jul 9 10:37:43 MDT 2014", bibsource = "https://www.math.utah.edu/pub/tex/bib/matlab.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Use R!", acknowledgement = ack-nhfb, subject = "MATLAB; Multivariate analysis; Data processing; R (Computer program language); Datenanalyse; MATLAB; R (Programm)", tableofcontents = "Introduction to functional data analysis \\ Essential comparisons of the Matlab and R languages \\ How to specify basis systems for building functions \\ How to build functional data objects \\ Smoothing: computing curves from noisy data \\ Descriptions of functional data \\ Exploring variation: functional principal and canonical components analysis \\ Registration: aligning features for samples of curves \\ Functional linear models for scalar responses \\ Linear models for functional responses \\ Functional models and dynamics \\ Symbol table", } @Article{Reese:2009:BRBa, author = "R. Allan Reese", title = "Book Review: {{\booktitle{R for SAS and SPSS Users}}, by R. A. Muenchen}", journal = j-J-R-STAT-SOC-SER-A-STAT-SOC, volume = "172", number = "3", pages = "697--698", month = jun, year = "2009", CODEN = "JSSAEF", DOI = "https://doi.org/10.1111/j.1467-985X.2009.00595_7.x; https://doi.org/10.2307/20622537", ISSN = "0964-1998 (print), 1467-985X (electronic)", ISSN-L = "0964-1998", bibdate = "Mon Jan 26 13:24:15 MST 2015", bibsource = "http://www.jstor.org/stable/i20622520; https://www.math.utah.edu/pub/tex/bib/jrss-a-2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstor.org/stable/20622537", acknowledgement = ack-nhfb, fjournal = "Journal of the Royal Statistical Society. Series A (Statistics in Society)", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-985X; http://www.jstor.org/journals/09641998.html", onlinedate = "18 May 2009", } @Book{Ritz:2009:NRR, author = "Christian Ritz", title = "Nonlinear regression with {R}", publisher = pub-SV, address = pub-SV:adr, pages = "xxiii + 252", year = "2009", DOI = "https://doi.org/10.1007/978-0-387-09616-2", ISBN = "0-387-09615-9", ISBN-13 = "978-0-387-09615-5", LCCN = "????", bibdate = "Thu Jul 10 08:46:18 MDT 2014", bibsource = "fsz3950.oclc.org:210/WorldCat; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", series = "Use R!", acknowledgement = ack-nhfb, subject = "Regresi{\'o}n (Estad{\'i}stica); R (Lenguaje de programaci{\'o}n)", } @Article{Robinson:2009:BRB, author = "Andrew Robinson", title = "Book Review: {{\booktitle{Adaptive design theory and implementation using SAS and R}}}", journal = j-J-APPL-STAT, volume = "36", number = "6", pages = "701--702", month = jun, year = "2009", CODEN = "????", ISSN = "0266-4763 (print), 1360-0532 (electronic)", ISSN-L = "0266-4763", bibdate = "Wed Aug 25 11:41:56 MDT 2010", bibsource = "http://www.tandf.co.uk/journals/routledge/02664763.html; https://www.math.utah.edu/pub/tex/bib/japplstat.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, fjournal = "Journal of Applied Statistics", journal-URL = "http://www.tandfonline.com/loi/cjas20", } @Article{Rosenblad:2009:BRJ, author = "Andreas Rosenblad", title = "Book Review: {J. J. Faraway: \booktitle{Extending the linear model with R: generalized linear, mixed effects and nonparametric regression models}}", journal = j-COMP-STAT, volume = "24", number = "2", pages = "369--370", month = may, year = "2009", CODEN = "CSTAEB", DOI = "https://doi.org/10.1007/s00180-009-0152-1", ISSN = "0943-4062 (print), 1613-9658 (electronic)", ISSN-L = "0943-4062", bibdate = "Thu Jun 18 16:19:37 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://link.springer.com/article/10.1007/s00180-009-0152-1", acknowledgement = ack-nhfb, ajournal = "Comp. Stat.", fjournal = "Computational Statistics", journal-URL = "http://link.springer.com/journal/180", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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{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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Book{Sawitzki:2009:CSIa, author = "G{\"u}nther Sawitzki", title = "Computational statistics: an introduction to {R}", publisher = pub-CRC, address = pub-CRC:adr, pages = "xiv + 251 + 8", year = "2009", ISBN = "1-4200-8678-2 (hardcover)", ISBN-13 = "978-1-4200-8678-2 (hardcover)", LCCN = "QA276.45.R3 S29 2009", bibdate = "Thu Jul 10 08:57:23 MDT 2014", bibsource = "fsz3950.oclc.org:210/WorldCat; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://catdir.loc.gov/catdir/toc/fy0904/2008042298.html", abstract = "Suitable for a compact course or self-study, Computational Statistics: An Introduction to R illustrates how to use the freely available R software package for data analysis, statistical programming, and graphics. Integrating R code and examples throughout, the text only requires basic knowledge of statistics and computing.\par This introduction covers one-sample analysis and distribution diagnostics, regression, two-sample problems and comparison of distributions, and multivariate analysis. It uses a range of examples to demonstrate how R can be employed to tackle statistical problems. In addition, the handy appendix includes a collection of R language elements and functions, serving as a quick reference and starting point to access the rich information that comes bundled with R.", acknowledgement = ack-nhfb, subject = "R (Computer program language); Mathematical statistics; Data processing; R; (Programmiersprache); Datenanalyse.; Datenanalyse; R (Programmiersprache); R <Programm>; Statistik.; Data processing.; R (Computer program language)", tableofcontents = "1 Basic data analysis \\ R programming conventions \\ Generation of random numbers and patterns \\ Random numbers \\ Patterns \\ Case study: distribution diagnostics \\ Distribution functions \\ Histograms \\ Barcharts \\ Statistics of distribution functions; Kolmogorov-Smirnov tests \\ Monte Carlo confidence bands \\ Statistics of histograms and related plots; X2-tests \\ Moments and quantiles \\ R complements \\ Random numbers \\ Graphical comparisons \\ Functions \\ Enhancing graphical displays \\ R internals \\ parse \\ eval \\ print \\ Executing files \\ Packages \\ Statistical summary \\ Literature and additional references \\ 2 Regression \\ General regression model \\ Linear model \\ Factors \\ Least squares estimation \\ Regression diagnostics \\ More examples for linear models \\ Model formulae \\ Gauss-Markov estimator and residuals \\ Variance decomposition and analysis of variance \\ Simultaneous inference \\ Scheff{\'e}'s confidence bands \\ Tukey's confidence intervals \\ Case study: titre plates \\ Beyond linear regression \\ Transformations \\ Generalised linear models \\ Local regression \\ R complements \\ Discretisation \\ External data \\ Testing software \\ R data types \\ Classes and polymorphic functions \\ Extractor functions \\ Statistical summary \\ Literature and additional references \\ 3 Comparisons \\ Shift/scale families, and stochastic order \\ QQ plot, PP plot, and comparison of distributions \\ Kolmogorov-Smirnov tests \\ Tests for shift alternatives \\ Road map \\ Power and confidence \\ Theoretical power and confidence \\ Simulated power and confidence \\ Quantile estimation \\ Qualitative features of distributions \\ Statistical summary \\ Literature and additional references \\ 4 Dimensions 1, 2, 3 \ldots{}, c \\ R Complements \\ Dimensions \\ Selections \\ Projections \\ Marginal distributions and scatter plot matrices \\ Projection pursuit \\ Projections for dimensions 1, 2, 3 \ldots{} 7 \\ Parallel coordinates \\ Sections, conditional distributions and coplots \\ Transformations and dimension reduction \\ Higher dimensions \\ Linear case \\ Partial residuals and added variable plots \\ Non-linear case \\ Example: cusp non-linearity \\ Case study: Melbourne temperature data \\ Curse of dimensionality \\ Case study: body fat \\ High dimensions \\ Statistical summary \\ R as a programming language and environment \\ Help and information \\ Names and search paths \\ Administration and customisation \\ Basic data types \\ Output for objects \\ Object inspection \\ System inspection \\ Complex data types \\ Accessing components \\ Data manipulation \\ Operators \\ Functions \\ Debugging and profiling \\ Control structures \\ Input and output to data streams; external data \\ Libraries, packages \\ Mathematical operators and functions; linear algebra \\ Model descriptions \\ Graphic functions \\ High-level graphics \\ Low-level graphics \\ Annotations and legends \\ Graphic parameters and Llyout \\ Elementary statistical functions \\ Distributions, random numbers, densities \ldots{} \\ Computing on the language", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Schwarz:2009:BRM, author = "Carl James Schwarz", title = "Book Review: {{\booktitle{Mixed Effects Models and Extensions in Ecology with R}}, by Zuur, A. F., Ieno, E. N., Walker, N. J., Saveliev, A. A., and Smith, G. M.}", journal = j-BIOMETRICS, volume = "65", number = "3", pages = "992--993", month = sep, year = "2009", CODEN = "BIOMB6", DOI = "https://doi.org/10.1111/j.1541-0420.2009.01315_4.x", ISSN = "0006-341X (print), 1541-0420 (electronic)", ISSN-L = "0006-341X", bibdate = "Thu Jun 25 10:48:20 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2000.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, ajournal = "Biometrics", fjournal = "Biometrics", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420", onlinedate = "14 September 2009", } @Article{Scott:2009:SBRa, author = "David J. Scott", title = "Short Book Review: {{\booktitle{Applied Econometrics with R}} by Christian Kleiber, Achim Zeileis}", journal = j-INT-STAT-REV, volume = "77", number = "1", pages = "164--164", month = apr, year = "2009", CODEN = "ISTRDP", DOI = "https://doi.org/10.1111/j.1751-5823.2009.00074_20.x; https://doi.org/10.2307/27919715", ISSN = "0306-7734 (print), 1751-5823 (electronic)", ISSN-L = "0306-7734", bibdate = "Wed Jun 18 06:26:23 MDT 2014", bibsource = "http://www.jstor.org/stable/i27919684; https://www.math.utah.edu/pub/tex/bib/intstatrev.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstor.org/stable/27919715", acknowledgement = ack-nhfb, fjournal = "International Statistical Review = Revue Internationale de Statistique", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823; http://www.jstor.org/journals/03067734.html", onlinedate = "26 Mar 2009", } @Book{Sheather:2009:MAR, author = "Simon J. Sheather", title = "A Modern Approach to Regression with {R}", publisher = pub-SV, address = pub-SV:adr, pages = "xiv + 392", year = "2009", ISBN = "0-387-09607-8 (hardcover)", ISBN-13 = "978-0-387-09607-0 (hardcover)", LCCN = "QA278.2 .S496 2009", bibdate = "Thu Jul 10 09:34:47 MDT 2014", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Springer texts in statistics", acknowledgement = ack-nhfb, subject = "Regression analysis; R (Computer program language); Regressieanalyse; R (computerprogramma); Analyse de r{\'e}gression; R (Langage de programmation)", tableofcontents = "Introduction \\ Simple linear regression \\ Diagnostics and transformations for simple linear regression \\ Weighted least squares \\ Multiple linear regression \\ Diagnostics and transformations for multiple linear regression \\ Variable selection \\ Logistic regression \\ Serially correlated errors \\ Mixed models", } @Article{Solymos:2009:PED, author = "P{\'e}ter S{\'o}lymos", title = "Processing Ecological Data in {R} with the {\tt mefa} Package", journal = j-J-STAT-SOFT, volume = "29", number = "8", pages = "??--??", month = feb, year = "2009", CODEN = "JSSOBK", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Book{Stapleton:2009:LSM, author = "James H. Stapleton", title = "Linear statistical models", publisher = pub-WILEY, address = pub-WILEY:adr, edition = "Second", pages = "xii + 474", year = "2009", ISBN = "0-470-23146-7 (cloth)", ISBN-13 = "978-0-470-23146-3 (cloth)", LCCN = "QA279 .S695 2009", bibdate = "Wed Sep 15 09:37:14 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Wiley series in probability and statistics", URL = "http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470231467.html", acknowledgement = ack-nhfb, subject = "linear models (statistics)", } @Book{Stevens:2009:PER, author = "M. Henry H. (Martin Henry Hoffman) Stevens", title = "A Primer of Ecology with {R}", publisher = pub-SV, address = pub-SV:adr, pages = "xvi + 401", year = "2009", DOI = "https://doi.org/10.1007/978-0-387-89882-7", ISBN = "0-387-89881-6 (softcover), 0-387-89882-4 (e-but)", ISBN-13 = "978-0-387-89881-0 (softcover), 978-0-387-89882-7 (e-but)", LCCN = "QH541.15.S5 S74 2009", bibdate = "Thu Jul 10 12:37:02 MDT 2014", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Use R!", acknowledgement = ack-nhfb, subject = "Ecology; Computer simulation; R (Computer program language); Philosophy", } @Article{Tierney:2009:CAP, author = "Luke Tierney", title = "Code analysis and parallelizing vector operations in {R}", journal = j-COMP-STAT, volume = "24", number = "2", pages = "217--223", month = may, year = "2009", CODEN = "CSTAEB", DOI = "https://doi.org/10.1007/s00180-008-0117-9", ISSN = "0943-4062 (print), 1613-9658 (electronic)", ISSN-L = "0943-4062", bibdate = "Thu Jun 18 16:19:37 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://link.springer.com/article/10.1007/s00180-008-0117-9", acknowledgement = ack-nhfb, ajournal = "Comp. Stat.", fjournal = "Computational Statistics", journal-URL = "http://link.springer.com/journal/180", } @Article{Tierney:2009:SPC, author = "Luke Tierney and A. J. Rossini and Na Li", title = "{Snow}: a Parallel Computing Framework for the {R} System", journal = j-INT-J-PARALLEL-PROG, volume = "37", number = "1", pages = "78--90", month = feb, year = "2009", CODEN = "IJPPE5", DOI = "https://doi.org/10.1007/s10766-008-0077-2", ISSN = "0885-7458 (print), 1573-7640 (electronic)", ISSN-L = "0885-7458", bibdate = "Wed Sep 1 16:06:47 MDT 2010", bibsource = "http://springerlink.metapress.com/openurl.asp?genre=issue&issn=0885-7458&volume=37&issue=1; https://www.math.utah.edu/pub/tex/bib/intjparallelprogram.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.springerlink.com/openurl.asp?genre=article&issn=0885-7458&volume=37&issue=1&spage=78", acknowledgement = ack-nhfb, fjournal = "International Journal of Parallel Programming", journal-URL = "http://link.springer.com/journal/10766", } @Book{Trosset:2009:ISI, author = "Michael W. (Michael William) Trosset", title = "An Introduction to Statistical Inference and Its Applications with {R}", publisher = pub-CRC, address = pub-CRC:adr, pages = "xxvii + 467", year = "2009", ISBN = "1-58488-947-0 (hardback)", ISBN-13 = "978-1-58488-947-2 (hardback)", LCCN = "QA276 .T756 2009", bibdate = "Sat Jun 27 08:52:53 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Chapman and Hall/CRC texts in statistical science series", abstract = "Emphasizing concepts rather than recipes, \booktitle{An Introduction to Statistical Inference and Its Applications with R} provides a clear exposition of the methods of statistical inference for students who are comfortable with mathematical notation. Numerous examples, case studies, and exercises are included. R is used to simplify computation, create figures, and draw pseudorandom samples - not to perform entire analyses. After discussing the importance of chance in experimentation, the text develops basic tools of probability. The plug-in principle then provides a transition from populations to samples, motivating a variety of summary statistics and diagnostic techniques. The heart of the text is a careful exposition of point estimation, hypothesis testing, and confidence intervals. The author then explains procedures for 1- and 2-sample location problems, analysis of variance, goodness-of-fit, and correlation and regression. He concludes by discussing the role of simulation in modern statistical inference.", acknowledgement = ack-nhfb, subject = "Mathematical statistics; Probabilities; R (Computer program language)", tableofcontents = "Experiments \\ Mathematical preliminaries \\ Probability \\ Discrete random variables \\ Continuous random variables \\ Quantifying population attributes \\ Data \\ Lots of data \\ Inference \\ 1-sample location problems \\ 2-sample location problems \\ The analysis of variance \\ Goodness-of-fit \\ Association \\ Simple linear regression \\ Simulation-based inference", } @Article{Unlu:2009:FSR, author = "Ali {\"U}nl{\"u} and Thomas Kiefer and Ehtibar N. Dzhafarov", title = "{Fechnerian} Scaling in {R}: The Package {\tt fechner}", journal = j-J-STAT-SOFT, volume = "31", number = "6", pages = "??--??", month = aug, year = "2009", CODEN = "JSSOBK", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Urbanek:2009:HTS, author = "Simon Urbanek", title = "How to talk to strangers: ways to leverage connectivity between {R}, {Java} and {Objective C}", journal = j-COMP-STAT, volume = "24", number = "2", pages = "303--311", month = may, year = "2009", CODEN = "CSTAEB", DOI = "https://doi.org/10.1007/s00180-008-0132-x", ISSN = "0943-4062 (print), 1613-9658 (electronic)", ISSN-L = "0943-4062", bibdate = "Thu Jun 18 16:19:37 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib; https://www.math.utah.edu/pub/tex/bib/java2010.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://link.springer.com/article/10.1007/s00180-008-0132-x", acknowledgement = ack-nhfb, ajournal = "Comp. Stat.", fjournal = "Computational Statistics", journal-URL = "http://link.springer.com/journal/180", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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{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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Book{Valiente:2009:CPM, author = "Gabriel Valiente", title = "Combinatorial pattern matching algorithms in computational biology using {Perl} and {R}", publisher = pub-CRC, address = pub-CRC:adr, pages = "352", year = "2009", ISBN = "1-4200-6973-X (hardcover), 1-4200-6974-8 (e-book)", ISBN-13 = "978-1-4200-6973-0 (hardcover), 978-1-4200-6974-7 (e-book)", LCCN = "QH324.2 .V35 2009", bibdate = "Fri Nov 16 06:34:12 MST 2012", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/string-matching.bib; z3950.loc.gov:7090/Voyager", series = "Chapman and Hall/CRC mathematical and computational biology series", abstract = "Emphasizing the search for patterns within and between biological sequences, trees, and graphs, Combinatorial Pattern Matching Algorithms in Computational Biology Using Perl and R shows how combinatorial pattern matching algorithms can solve computational biology problems that arise in the analysis of genomic, transcriptomic, proteomic, metabolomic, and interactomic data. It implements the algorithms in Perl and R, two widely used scripting languages in computational biology. The book provides a well-rounded explanation of traditional issues as well as an up-to-date account of more recent developments", acknowledgement = ack-nhfb, subject = "Computational biology; Pattern formation (Biology); Computer simulation; Graph algorithms; Perl (Computer program language); R (Computer program language)", tableofcontents = "Front Cover \\ Contents \\ Foreword \\ Preface \\ Chapter 1. Introduction \\ Chapter 2. Sequences \\ Chapter 3. Simple Pattern Matching in Sequences \\ Chapter 4. General Pattern Matching in Sequences \\ Chapter 5. Trees \\ Chapter 6. Simple Pattern Matching in Trees \\ Chapter 7. General Pattern Matching in Trees \\ Chapter 8. Graphs \\ Chapter 9. Simple Pattern Matching in Graphs \\ Chapter 10. General Pattern Matching in Graphs \\ Appendix A. Elements of Perl \\ Appendix B. Elements of R \\ References \\ Index \\ Back Cover", } @Article{VandenMeersche:2009:CSX, author = "Karel {Van den Meersche} and Karline Soetaert and Dick {Van Oevelen}", title = "Code Snippet: {{\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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{Varadhan:2009:BRP, author = "Ravi Varadhan and Paul Gilbert", title = "{{\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Vinod:2009:MEB, author = "Hrishikesh D. Vinod and Javier Lopez-de-Lacalle", title = "Maximum Entropy Bootstrap for Time Series: The {\tt meboot} {R} Package", journal = j-J-STAT-SOFT, volume = "29", number = "5", pages = "??--??", month = jan, year = "2009", CODEN = "JSSOBK", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Voelkel:2009:SBR, author = "Joseph G. Voelkel", title = "Short Book Review: {{\booktitle{R for SAS and SPSS Users}} by Robert A. Muenchen}", journal = j-INT-STAT-REV, volume = "77", number = "3", pages = "465--466", month = dec, year = "2009", CODEN = "ISTRDP", DOI = "https://doi.org/10.1111/j.1751-5823.2009.00095_3.x; https://doi.org/10.2307/27919771", ISSN = "0306-7734 (print), 1751-5823 (electronic)", ISSN-L = "0306-7734", bibdate = "Wed Jun 18 06:26:23 MDT 2014", bibsource = "http://www.jstor.org/stable/i27919757; https://www.math.utah.edu/pub/tex/bib/intstatrev.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.jstor.org/stable/27919771", acknowledgement = ack-nhfb, fjournal = "International Statistical Review = Revue Internationale de Statistique", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823; http://www.jstor.org/journals/03067734.html", onlinedate = "29 Oct 2009", } @Book{Wickham:2009:GEG, author = "Hadley Wickham", title = "\pkg{ggplot2}: Elegant Graphics for Data Analysis", publisher = pub-SV, address = pub-SV:adr, pages = "viii + 212", year = "2009", ISBN = "0-387-98140-3 (softcover), 0-387-98141-1 (e-book)", ISBN-13 = "978-0-387-98140-6 (softcover), 978-0-387-98141-3 (e-book)", LCCN = "QA90 .W53 2009", bibdate = "Wed Feb 11 11:03:55 MST 2015", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Use R!", acknowledgement = ack-nhfb, subject = "Graphic methods; R (Computer program language); Datenanalyse.; Graphische Darstellung.; Plot (Graphische Darstellung); R (Programm); Visualisierung.", } @Book{Zucchini:2009:HMM, author = "W. Zucchini and Iain L. MacDonald", title = "Hidden {Markov} models for time series: an introduction using {R}", volume = "110", publisher = pub-CRC, address = pub-CRC:adr, pages = "xxii + 275", year = "2009", ISBN = "1-58488-573-4 (hardcover)", ISBN-13 = "978-1-58488-573-3 (hardcover)", LCCN = "QA280 .Z83 2009", bibdate = "Thu Jul 10 12:08:53 MDT 2014", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Monographs on statistics and applied probability", abstract = "\booktitle{Hidden Markov Models for Time Series} presents an accessible overview of hidden Markov models for analyzing a wide range of time series data, including discrete-valued, continuous-valued, circular, and multivariate. Demonstrating how to apply methods to real world problems, it features applications from a variety of fields, such as animal behavior, epidemiology, and finance. It also discusses the implementation of all of the techniques using R, illustrating how R can be used for parameter estimation, model selection, and model checking. With numerous exercises, this is outstanding both as a text for graduate students and as a reference for researchers, practitioners.", acknowledgement = ack-nhfb, subject = "Time-series analysis; Markov processes; R (Computer program language)", tableofcontents = "Part 1. Model structure, properties and methods \\ 1. Preliminaries: mixtures and Markov chains \\ 2. Hidden Markov models: definition and properties \\ 3. Estimation by direct maximization of the likelihood \\ 4. Estimation by the EM algorithm \\ 5. Forecasting, decoding and state prediction \\ 6. Model selection and checking \\ 7. Bayesian inference for Poisson HMMs \\ Part 2. Applications \\ 9. Epileptic seizures \\ 10. Eruptions of the Old Faithful geyser \\ 11. Drosophila speed and change of direction \\ 12. Wind direction at Koeberg \\ 13. Models for financial series \\ 14. Births at Edendale Hospital \\ 15. Homicides and suicides in Cape Town \\ 16. Animal behaviour model with feedback \\ A. Examples of R code \\ B. Some proofs", } @Book{Zuur:2009:BGR, author = "Alain F. Zuur and Elena N. Ieno and Erik H. W. G. Meesters", title = "A Beginner's Guide to {R}", publisher = pub-SV, address = pub-SV:adr, pages = "xv + 218", year = "2009", ISBN = "0-387-93836-2 (softcover), 0-387-93837-0 (e-book)", ISBN-13 = "978-0-387-93836-3 (softcover), 978-0-387-93837-0 (e-book)", LCCN = "QA276.45.R3 Z88 2009", bibdate = "Thu Jul 10 09:58:44 MDT 2014", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Use R!", abstract = "Based on their extensive experience with teaching R and statistics to applied scientists, the authors provide a beginner's guide to R. To avoid the difficulty of teaching R and statistics at the same time, statistical methods are kept to a minimum. The text covers how to download and install R, import and manage data, elementary plotting, an introduction to functions, advanced plotting, and common beginner mistakes. This book contains everything you need to know to get started with R. \par ``Its biggest advantage is that it aims only to teach R\ldots{}It organizes R commands very efficiently, with much teaching guidance included. I would describe this book as being handy--it's the kind of book that you want to keep in your jacket pocket or backpack all the time, ready for use, like a Swiss Army knife.'' (Loveday Conquest, University of Washington) \par ``Whilst several books focus on learning statistics in R\ldots{}, the authors of this book fill a gap in the market by focusing on learning R whilst almost completely avoiding any statistical jargon\ldots{}The fact that the authors have very extensive experience of teaching R to absolute beginners shines throughout.'' (Mark Mainwaring, Lancaster University)\par ``Exactly what is needed\ldots{}This is great, nice work. I love the ecological/biological examples; they will be an enormous help.'' (Andrew J. Tyne, University of Nebraska-Lincoln).\par Alain F. Zuur is senior statistician and director of Highland Statistics Ltd., a statistical consultancy company based in the UK. He has taught statistics to more than 5000 ecologists. He is honorary research fellow in the School of Biological Sciences, Oceanlab, at the University of Aberdeen, UK. Elena N. Ieno is senior marine biologist and co-director at Highland Statistics Ltd. She has been involved in guiding PhD students on the design and analysis of ecological data. She is honorary research fellow in the School of Biological Sciences, Oceanlab, at the University of Aberdeen, UK. Erik H. W. G. Meesters is a researcher at the Dutch Institute for Marine Resources and Ecosystem Studies (IMARES). He specializes in coral reef ecology and applied statistics and conducts research on North Sea benthos and seal ecology.", acknowledgement = ack-nhfb, subject = "Statistics; Data processing; Software; Science; Statistical methods; Statistical methods; Data processing; R (Computer program language); Handbooks, manuals, etc; Mathematical statistics; Data processing", tableofcontents = "1. Introduction \\ 2. Getting data into R \\ 3. Accessing variables and managing subsets of data \\ 4. Simple functions \\ 5. introduction to basic plotting tools \\ 6. Loops and functions \\ 7. Graphing tools \\ 8. introduction to the lattice package \\ 9. Common R mistakes", } @Book{Zuur:2009:MEM, author = "Alain F. Zuur and Elena N. Ieno and Neil J. Walker and Anatoly A. Saveliev and Graham M. Smith", title = "Mixed Effects Models and Extensions in Ecology with {R}", publisher = pub-SV, address = pub-SV:adr, pages = "xxii + 574", year = "2009", ISBN = "0-387-87457-7 (hardcover)", ISBN-13 = "978-0-387-87457-9 (hardcover)", LCCN = "QH541.15.S72 M59 2009", bibdate = "Thu Jul 10 08:44:44 MDT 2014", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", series = "Statistics for biology and health", acknowledgement = ack-nhfb, subject = "Ecology; Statistical methods; R (Computer program language)", tableofcontents = "Limitations of linear regression applied on ecological data \\ Things are not always linear: additive modeling \\ Dealing with heterogeneity \\ Mixed effects modeling for nested data \\ Violation of independence. Part 1 \\ Violation of independence. Part 2 \\ Meet the exponential family \\ GLM and GAM for count data \\ GLM and GAM for absence-presence and proportional data \\ Zero-truncated and zero-inflated models for count data \\ Generalised estimation equations \\ GLMM and GAMM \\ Estimating trends for Antarctic birds in relation to climate change / A. F. Zuur \ldots{} [et al.] \\ Large scale impacts of land-use change in a Scottish farming catchment / A. F. Zuur \ldots{} [et al.] \\ Negative binomial GAM and GAMM to analyse amphibian roadkills / A. F. Zuur \ldots{} [et al.] \\ Additive mixed modelling applied on deep-sea pelagic bioluminescent organisms / A. F. Zuur \ldots{} [et al.] \\ Additive mixed modelling applied on phytoplankton time series data / A. F. Zuur \ldots{} [et al.] \\ Mixed effects modelling applied on American foulbrood affecting honey bees larvae / A. F. Zuur \ldots{} [et al.] \\ Three-way nested data for age determination techniques applied to cetaceans / E. N. Ieno \ldots{} [et al.] \\ GLMM applied on the spatial distribution of koalas in a fragmented landscape / J. R. Rhodes \ldots{} [et al.] \\ A comparison of GLM, GEE, and GLMM applied to badger activity data / N. J. Walker \ldots{} [et al.] \\ Incorporating temporal correlation in seal abundance data with MCMC / A. A. Saveliev \ldots{} [et al.] \\ Required pre-knowledge: a linear regression and additive modelling example", } @Article{Abreu:2010:HDG, author = "Gabriel C. G. Abreu and Rodrigo Labouriau and David Edwards", title = "High-Dimensional Graphical Model Search with the {{\tt gRapHD}} {R} Package", journal = j-J-STAT-SOFT, volume = "37", number = "1", pages = "??--??", month = nov, year = "2010", CODEN = "JSSOBK", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Mon Feb 7 10:00:59 MST 2011", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Book{Adler:2010:RN, author = "Joseph Adler", title = "{R} in a nutshell", publisher = pub-ORA, address = pub-ORA:adr, pages = "xx + 611", year = "2010", ISBN = "0-596-80170-X", ISBN-13 = "978-0-596-80170-0", LCCN = "QA276.45.R3eb; QA276.45.R3; Internet", bibdate = "Sun Mar 28 14:59:44 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/ora.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; melvyl.cdlib.org:210/CDL90", acknowledgement = ack-nhfb, remark = "December 2009: first edition.", subject = "R (computer program language); mathematical statistics; data processing", tableofcontents = "1. Getting and installing R \\ 2. The R user interface \\ 3. A short R tutorial \\ 4. R packages \\ 5. An overview of the R language \\ 6. R syntax \\ 7. R objects \\ 8. Symbols and environments \\ 9. Functions \\ 10. Object-oriented programming \\ 11. High-performance R \\ 12. Saving, loading, and editing data \\ 13. Preparing data \\ 14. Graphics \\ 15. Lattice graphics \\ 16. Analyzing data \\ 17. Probability distributions \\ 18. Statistical tests \\ 19. Power tests \\ 20. Regression models \\ 21. Classification models \\ 22. Machine learning \\ 23. Time series analysis \\ 24. Bioconductor \\ Appendix. R reference", } @Article{Alfons:2010:OOF, author = "Andreas Alfons and Matthias Templ and Peter Filzmoser", title = "An Object-Oriented Framework for Statistical Simulation: The {R} Package {{\tt simFrame}}", journal = j-J-STAT-SOFT, volume = "37", number = "3", pages = "??--??", month = nov, year = "2010", CODEN = "JSSOBK", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Mon Feb 7 10:00:59 MST 2011", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Almquist:2010:UCS, author = "Zack W. Almquist", title = "{US} Census Spatial and Demographic Data in {R}: The {{\tt UScensus2000}} Suite of Packages", journal = j-J-STAT-SOFT, volume = "37", number = "6", pages = "??--??", month = nov, year = "2010", CODEN = "JSSOBK", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Mon Feb 7 10:00:59 MST 2011", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Anonymous:2010:BRBb, author = "Anonymous", title = "Book Review: {{\booktitle{Analysis of Integrated and Cointegrated Time Series With R}} (2nd ed.) by Bernhard Pfaff}", journal = j-TECHNOMETRICS, volume = "52", number = "1", pages = "145--145", month = feb, year = "2010", CODEN = "TCMTA2", DOI = "https://doi.org/10.2307/40586696", ISSN = "0040-1706 (print), 1537-2723 (electronic)", ISSN-L = "0040-1706", bibdate = "Sat Jun 21 13:21:33 MDT 2014", bibsource = "http://www.jstor.org/journals/00401706.html; http://www.jstor.org/stable/i40025251; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/technometrics2010.bib", URL = "http://www.jstor.org/stable/40586696", acknowledgement = ack-nhfb, fjournal = "Technometrics", journal-URL = "http://www.jstor.org/journals/00401706.html", } @Article{Archer:2010:RRP, author = "Kellie J. Archer", title = "{{\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Berger:2010:BRP, author = "Vance W. Berger", title = "Book Review: {{\booktitle{Permutation Tests for Stochastic Ordering and ANOVA: Theory and Applications with R}}, by Basso, D., Pesarin, F., Salmaso, L., and Solari, A.}", journal = j-BIOMETRICS, volume = "66", number = "1", pages = "319--321", month = mar, year = "2010", CODEN = "BIOMB6", DOI = "https://doi.org/10.1111/j.1541-0420.2010.01383.x", ISSN = "0006-341X (print), 1541-0420 (electronic)", ISSN-L = "0006-341X", bibdate = "Thu Jun 25 10:48:21 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2010.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, ajournal = "Biometrics", fjournal = "Biometrics", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420", onlinedate = "17 March 2010", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Booth:2010:BRBa, author = "David Booth", title = "Book Review: {{\booktitle{Computational Statistics: An Introduction to R}} by Gunther Sawitzki}", journal = j-TECHNOMETRICS, volume = "52", number = "3", pages = "364--364", month = aug, year = "2010", CODEN = "TCMTA2", DOI = "https://doi.org/10.2307/27867261", ISSN = "0040-1706 (print), 1537-2723 (electronic)", ISSN-L = "0040-1706", bibdate = "Sat Jun 21 13:21:35 MDT 2014", bibsource = "http://www.jstor.org/journals/00401706.html; http://www.jstor.org/stable/i27867243; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/technometrics2010.bib", URL = "http://www.jstor.org/stable/27867261", acknowledgement = ack-nhfb, fjournal = "Technometrics", journal-URL = "http://www.jstor.org/journals/00401706.html", } @Article{Boshnakov:2010:BRI, author = "Georgi N. Boshnakov", title = "Book Review: {{\booktitle{Introductory Time Series with R}}}", journal = j-J-TIME-SER-ANAL, volume = "31", number = "5", pages = "406--406", month = sep, year = "2010", CODEN = "JTSADL", DOI = "https://doi.org/10.1111/j.1467-9892.2009.00647.x", ISSN = "0143-9782 (print), 1467-9892 (electronic)", ISSN-L = "0143-9782", bibdate = "Tue Mar 5 16:29:28 MST 2019", bibsource = "https://www.math.utah.edu/pub/tex/bib/jtimeseranal.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, fjournal = "Journal of Time Series Analysis", journal-URL = "https://onlinelibrary.wiley.com/journal/14679892", onlinedate = "16 August 2010", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://www.math.utah.edu/pub/tex/bib/matlab.bib; https://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{Brooms:2010:BRB, author = "A. C. Brooms", title = "Book Review: {{\booktitle{Data Manipulation with R}}}", journal = j-J-APPL-STAT, volume = "37", number = "12", pages = "2121--2121", month = dec, year = "2010", CODEN = "????", DOI = "https://doi.org/10.1080/02664760903075531", ISSN = "0266-4763 (print), 1360-0532 (electronic)", ISSN-L = "0266-4763", bibdate = "Mon Sep 5 18:53:11 MDT 2011", bibsource = "http://www.tandf.co.uk/journals/routledge/02664763.html; https://www.math.utah.edu/pub/tex/bib/japplstat.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", note = "See \cite{Spector:2008:DMR}.", acknowledgement = ack-nhfb, fjournal = "Journal of Applied Statistics", journal-URL = "http://www.tandfonline.com/loi/cjas20", onlinedate = "19 Nov 2010", } @Article{Bulla:2010:HRP, author = "Jan Bulla and Ingo Bulla and Oleg Nenadi{\'c}", title = "{\tt hsmm} --- An {R} package for analyzing hidden semi-{Markov} models", journal = j-COMPUT-STAT-DATA-ANAL, volume = "54", number = "3", pages = "611--619", day = "1", month = mar, year = "2010", CODEN = "CSDADW", ISSN = "0167-9473 (print), 1872-7352 (electronic)", ISSN-L = "0167-9473", bibdate = "Fri Feb 6 11:42:56 MST 2015", bibsource = "https://www.math.utah.edu/pub/tex/bib/computstatdataanal2010.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", URL = "http://www.sciencedirect.com/science/article/pii/S016794730800426X", acknowledgement = ack-nhfb, fjournal = "Computational Statistics \& Data Analysis", journal-URL = "http://www.sciencedirect.com/science/journal/01679473", } @Article{Burr:2010:BRB, author = "Tom Burr", title = "Book Review: {{\booktitle{Functional Data Analysis With R and MATLAB}} by J. Ramsay; G. Hooker; S. Graves}", journal = j-TECHNOMETRICS, volume = "52", number = "4", pages = "466--466", month = nov, year = "2010", CODEN = "TCMTA2", DOI = "https://doi.org/10.2307/40997262", ISSN = "0040-1706 (print), 1537-2723 (electronic)", ISSN-L = "0040-1706", bibdate = "Sat Jun 21 13:21:37 MDT 2014", bibsource = "http://www.jstor.org/journals/00401706.html; http://www.jstor.org/stable/i40045082; https://www.math.utah.edu/pub/tex/bib/matlab.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib; https://www.math.utah.edu/pub/tex/bib/technometrics2010.bib", URL = "http://www.jstor.org/stable/40997262", acknowledgement = ack-nhfb, fjournal = "Technometrics", journal-URL = "http://www.jstor.org/journals/00401706.html", } @Article{Calcagno:2010:GRP, author = "Vincent Calcagno and Claire de Mazancourt", title = "{\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Cardot:2010:BRF, author = "Herv{\'e} Cardot", title = "Book Review: {{\booktitle{Functional Data Analysis with R and Matlab}}, by Ramsay, J. O., Hooker, G., and Graves, S.}", journal = j-BIOMETRICS, volume = "66", number = "4", pages = "1312--1313", month = dec, year = "2010", CODEN = "BIOMB6", DOI = "https://doi.org/10.1111/j.1541-0420.2010.01513.x", ISSN = "0006-341X (print), 1541-0420 (electronic)", ISSN-L = "0006-341X", bibdate = "Thu Jun 25 10:48:23 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2010.bib; https://www.math.utah.edu/pub/tex/bib/matlab.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, ajournal = "Biometrics", fjournal = "Biometrics", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420", onlinedate = "10 December 2010", } @Article{Chang:2010:CRP, author = "Fang Chang and Weiliang Qiu and Ruben H. Zamar and Ross Lazarus and Xiaogang Wang", title = "{\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Book{Cornillon:2010:SAR, author = "Pierre-Andr{\'e} Cornillon and Arnaud Guyader and Fran{\c{c}}ois Husson and Nicolas J{\'e}gou and Julie Josse and Maela Kloareg and Eric Matzner-L{\o}ber and Laurent Rouvi{\`e}re", title = "Statistiques avec {R}", publisher = "Presses universitaires de Rennes", address = "Rennes, France", edition = "Second", pages = "v + 274", year = "2010", ISBN = "2-7535-1087-3 (paperback)", ISBN-13 = "978-2-7535-1087-6 (paperback)", LCCN = "QA276.45R3 C67.2010", bibdate = "Thu Jul 10 13:10:39 MDT 2014", bibsource = "fsz3950.oclc.org:210/WorldCat; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", series = "Pratique de la statistique / [collection] dirig{\'e}e par {\'E}ric Matzner-L{\o}ber", URL = "http://catalogue.bnf.fr/ark:/12148/cb42210870p", acknowledgement = ack-nhfb, remark = "``Pratique de la statistique'' constitue une autre forme de titre de la collection.", subject = "Statistique math{\'e}matique.; R (logiciel).; Gestion; M{\'e}thodes statistiques; Probl{\`e}mes et exercices.; Math{\'e}matiques.; Statistiques.; R (logiciel); statistique; [manuel]; R (Langage de programmation); Informatique; Logiciels; R (Langage de programmation); Statistique.", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Doerge:2010:BRG, author = "R. W. Doerge", title = "Book Review: {{\booktitle{A Guide to QTL Mapping with R/qtl}}, by Broman, K. W. and Sen, S.}", journal = j-BIOMETRICS, volume = "66", number = "2", pages = "658--659", month = jun, year = "2010", CODEN = "BIOMB6", DOI = "https://doi.org/10.1111/j.1541-0420.2010.01428.x", ISSN = "0006-341X (print), 1541-0420 (electronic)", ISSN-L = "0006-341X", bibdate = "Thu Jun 25 10:48:22 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2010.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, ajournal = "Biometrics", fjournal = "Biometrics", journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420", onlinedate = "01 June 2010", } @Article{Fay:2010:EAW, author = "Michael P. Fay and Pamela A. Shaw", title = "Exact and Asymptotic Weighted Logrank Tests for Interval Censored Data: The {\tt interval} {R} Package", journal = j-J-STAT-SOFT, volume = "36", number = "2", pages = "??--??", month = aug, year = "2010", CODEN = "JSSOBK", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Article{Finger:2010:RRS, author = "Robert Finger", title = "Review of `Robustbase' software for {R}", journal = j-J-APPL-ECONOMETRICS, volume = "25", number = "7", pages = "1205--1210", month = nov # "--" # dec, year = "2010", CODEN = "JAECET", DOI = "https://doi.org/10.1002/jae.1194", ISSN = "0883-7252 (print), 1099-1255 (electronic)", ISSN-L = "0883-7252", bibdate = "Sat Mar 9 10:20:28 MST 2019", bibsource = "https://www.math.utah.edu/pub/tex/bib/jappleconometrics.bib; https://www.math.utah.edu/pub/tex/bib/s-plus.bib", acknowledgement = ack-nhfb, fjournal = "Journal of Applied Econometrics", journal-URL = "https://onlinelibrary.wiley.com/journal/10991255; https://www.jstor.org/journal/japplecon", onlinedate = "17 November 2010", } @Article{Furrer:2010:SSM, author = "Reinhard Furrer and Stephan R. Sain", title = "{{\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Mon Feb 7 10:02:17 MST 2011", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @Book{Gavrilovska:2010:AHP, editor = "Ada Gavrilovska", title = "Attaining high performance communications: a vertical approach", publisher = pub-CRC, address = pub-CRC:adr, pages = "xxxii + 411", year = "2010", ISBN = "1-4200-9308-8 (hardcover)", ISBN-13 = "978-1-4200-9308-7 (hardcover)", LCCN = "QA76.88 .A77 2010", bibdate = "Thu Nov 15 17:17:31 MST 2012", bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib; z3950.loc.gov:7090/Voyager", acknowledgement = ack-nhfb, subject = "High performance computing", } @Article{Glaab:2010:VRP, author = "Enrico Glaab and Jonathan M. Garibaldi and Natalio Krasnogor", title = "{{\tt 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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Mon Feb 7 10:02:17 MST 2011", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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", } @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", ISSN = "1548-7660", ISSN-L = "1548-7660", bibdate = "Wed Aug 25 09:57:41 MDT 2010", bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib; https://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-