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Recent Publications

Articles Code Snippets Book Reviews Software Reviews Special Volumes
Fitting the Cusp Catastrophe in R: A cusp Package Prime
Vol. 32, Issue 8, Nov 2009
Submitted 2008-11-10, Accepted 2009-05-09
Raoul Grasman, Han L.J. van der Maas, Eric-Jan Wagenmakers
Response-Surface Methods in R, Using rsm
Vol. 32, Issue 7, Oct 2009
Submitted 2009-03-04, Accepted 2009-10-19
Russell V. Lenth
mixtools: An R Package for Analyzing Mixture Models
Vol. 32, Issue 6, Oct 2009
Submitted 2009-04-28, Accepted 2009-08-18
Tatiana Benaglia, Didier Chauveau, David R. Hunter, Derek S. Young
Isotone Optimization in R: Pool-Adjacent-Violators Algorithm (PAVA) and Active Set Methods
Vol. 32, Issue 5, Oct 2009
Submitted 2009-03-27, Accepted 2009-09-30
Jan de Leeuw, Kurt Hornik, Patrick Mair
BB: An R Package for Solving a Large System of Nonlinear Equations and for Optimizing a High-Dimensional Nonlinear Objective Function
Vol. 32, Issue 4, Oct 2009
Submitted 2008-12-31, Accepted 2009-06-29
Ravi Varadhan, Paul Gilbert
An Object-Oriented Framework for Robust Multivariate Analysis
Vol. 32, Issue 3, Oct 2009
Submitted 2009-02-26, Accepted 2009-08-08
Valentin Todorov, Peter Filzmoser
Unit Root CADF Testing with R
Vol. 32, Issue 2, Oct 2009
Submitted 2008-12-29, Accepted 2009-08-10
Claudio Lupi
Blocking Mixed-Level Factorials with SAS
Vol. 32, Code Snippet 1, Nov 2009
Submitted 2008-06-07, Accepted 2009-06-22
John Lawson, G. Bruce Schaalje, Bruce Jay Collings
The Enhancement of Teaching Materials for Applied Statistics Courses by Combining Random Number Generation and Portable Document Format Files via LaTeX
Vol. 31, Code Snippet 3, Sep 2009
Submitted 2008-09-17, Accepted 2009-05-27
Arthur Dryver
A SAS/IML Macro for Computing Percentage Points of Pearson Distributions
Vol. 31, Code Snippet 2, Sep 2009
Submitted 2009-02-17, Accepted 2009-07-07
Wei Pan
reporttools: R Functions to Generate LaTeX Tables of Descriptive Statistics
Vol. 31, Code Snippet 1, Aug 2009
Submitted 2008-11-13, Accepted 2009-05-05
Kaspar Rufibach
xsample(): An R Function for Sampling Linear Inverse Problems
Vol. 30, Code Snippet 1, Apr 2009
Submitted 2008-05-26, Accepted 2009-03-31
Karel Van den Meersche, Karline Soetaert, Dick Van Oevelen
The Construction of a Williams Design and Randomization in Cross-Over Clinical Trials Using SAS
Vol. 29, Code Snippet 1, Feb 2009
Submitted 2008-10-09, Accepted 2009-02-18
Bing-Shun Wang, Xiao-Jin Wang, Li-Kun Gong
Beanplot: A Boxplot Alternative for Visual Comparison of Distributions
Vol. 28, Code Snippet 1, Nov 2008
Submitted 2008-09-19, Accepted 2008-10-28
Peter Kampstra
Mixed Effects Models and Extensions in Ecology with R
Vol. 32, Book Review 1, Nov 2009
Submitted 2009-11-08, Accepted 2009-11-08
Reviewed by Aaron Christ
Principles of Modeling and Simulation: A Multidisciplinary Approach
Vol. 31, Book Review 3, Sep 2009
Submitted 2009-09-25, Accepted 2009-09-25
Reviewed by Irina Kukuyeva
Applied Statistical Genetics with R for Population-Based Association Studies
Vol. 31, Book Review 2, Sep 2009
Submitted 2009-09-19, Accepted 2009-09-19
Reviewed by Chiara Sabatti, Christophe Lalanne
Morphometrics with R
Vol. 31, Book Review 1, Sep 2009
Submitted 2009-09-19, Accepted 2009-09-19
Reviewed by Adrian Bowman
Interactive and Dynamic Graphics for Data Analysis: With R and GGobi
Vol. 30, Book Review 7, May 2009
Submitted 2009-05-11, Accepted 2009-05-11
Reviewed by Pedro M. Valero-Mora
Statistics and Data with R: An Applied Approach Through Examples
Vol. 30, Book Review 6, Apr 2009
Submitted 2009-04-27, Accepted 2009-04-27
Reviewed by Anatol Sargin
Analysis of Integrated and Cointegrated Time Series with R (2nd Edition)
Vol. 30, Book Review 5, Apr 2009
Submitted 2009-04-27, Accepted 2009-04-27
Reviewed by Dirk Eddelbuettel
gret1 1.7.3
Vol. 25, Software Review 1, Mar 2008
Submitted 2008-03-26, Accepted 2008-03-31
Reviewed by Andreas Rosenblad
Stata 10 (Time Series and Forecasting)
Vol. 23, Software Review 1, Dec 2007
Submitted 2007-12-12, Accepted 2007-12-12
Reviewed by Robert Alan Yaffee
Scientific Workplace 5.5 and LyX 1.4.2
Vol. 17, Software Review 1, Oct 2006
Submitted 2006-10-27, Accepted 2006-10-27
Reviewed by Andreas Karlsson
Aabel 1.5.7
Vol. 11, Software Review 1, Jul 2004
Submitted 2004-07-20, Accepted 2004-07-20
Reviewed by Antony Unwin
Volume 27: Econometrics in R
Volume 24: Statistical Modeling of Social Networks with "statnet"
Volume 22: Ecology and Ecological Modelling in R
Volume 20: Psychometrics in R
Volume 18: Spectroscopy and Chemometrics in R
Volume 13: Lisp-Stat, Past, Present and Future
Volume 10: Robust Statistical Methods
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Established in 1996, the Journal of Statistical Software publishes articles, book reviews, code snippets, and software reviews on the subject of statistical software and algorithms.  The contents are freely available on-line.  For both articles and code snippets the source code is published along with the paper.

Statistical software is the key link between statistical methods and their application in practice.  Software that makes this link is the province of the journal, and may be realized as, for instance, tools for large scale computing, database technology, desktop computing, distributed systems, the World Wide Web, reproducible research, archiving and documentation, and embedded systems.

We attempt to present research that demonstrates the joint evolution of computational and statistical methods and techniques.  Implementations can use languages such as C, C++, S, Fortran, Java, PHP, Python and Ruby or environments such as Mathematica, MATLAB, R, S-PLUS, SAS, Stata, and XLISP-STAT.

There are currently 322 articles, 17 code snippets, 72 book reviews, 4 software reviews, and 7 special volumes in our archives.  These can be browsed or searched.  You can also subscribe for notification of new articles.


News

Special Volume 27 Now Available
Special volume 27 on Econometrics in R is now available.
New JSS Web Site
The Journals of Statistical Software web site has been rewritten using Ruby on Rails. New features include easier browse, searching and RSS feeds.

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JSS would not exist without countless hours of support and programming by UCLA Statistics staff. To support continuation of these efforts, please consider donating to the Statistics Computing Support Fund.

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