Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Journal of Statistical Software

Recent Publications

Articles

Stan: A Probabilistic Programming Language PDF
Bob Carpenter, Andrew Gelman, Matthew D. Hoffman, Daniel Lee, Ben Goodrich, Michael Betancourt, Marcus Brubaker, Jiqiang Guo, Peter Li, Allen Riddell
Blind Source Separation Based on Joint Diagonalization in R: The Packages JADE and BSSasymp PDF
Jari Miettinen, Klaus Nordhausen, Sara Taskinen
Mixed Non-Parametric and Parametric Estimation Techniques in R Package etasFLP for Earthquakes' Description PDF
Marcello Chiodi, Giada Adelfio
Nonparametric Inference for Multivariate Data: The R Package npmv PDF
Woodrow W. Burchett, Amanda R. Ellis, Solomon W. Harrar, Arne C. Bathke
DFIT: An R Package for Raju's Differential Functioning of Items and Tests Framework PDF
Víctor H. Cervantes
A Panel Data Toolbox for MATLAB PDF
Inmaculada C. Álvarez, Javier Barbero, José L. Zofío

Code Snippets

Computerized Adaptive Testing with R: Recent Updates of the Package catR PDF
David Magis, Juan Ramon Barrada

Book Reviews

Working with the American Community Survey in R: A Guide to Using the acs Package PDF
Virgilio Gómez-Rubio
Statistical Analysis and Data Display: An Intermediate Course with Examples in R (2nd Edition) PDF
James E. Helmreich

JSS logoEstablished 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.

Announcements

 
JSS Celebrates 20 Years: Special Volume 73  
2016 marks the 20th anniversary of the Journal of Statistical Software.  We celebrate the anniversary with a Festschrift for Jan de Leeuw, the journal's founding editor, which is now online as Special Volume 73 (Editors: Patrick Mair, Katharine Mullen).

 
 
New JSS server  
The Journal of Statistical Software moved to a new server based on Open Journal Systems (OJS, http://pkp.sfu.ca/ojs/) which not only hosts published software/manuscripts but also provides a full editorial system. Thus, all submissions, reviews, etc. can now be made through the new OJS system.

 
 
DOIs for JSS publications  
The Journal of Statistical Software now provides DOIs (digital object identifiers, http://www.doi.org/) for its publications. For example, doi:10.18637/jss.v063.i01 refers to the introduction to the recent special volume on software for spatial statistics. The DOIs for past publications are listed on the respective web page. Future publications (starting from Volume 67) will also show the DOIs in the PDF manuscripts - and also provide DOIs for the references cited in the manuscripts.

 
 
Special Volume 63  
Special volume 63 on Software for Spatial Statistics, Editors: Edzer Pebesma, Roger Bivand and Paulo Justiano Ribeiro is now available.  
 
More Announcements...

Support

As a matter of principle, JSS charges no author fees or subscription fees. Our editors, reviewers, and programmers are volunteers. UCLA Statistics and Universität Innsbruck contribute support staff, website maintenance, website hosting, and some graduate student support. Because of our success and growth we do need more resources in the future. You can support us by becoming a member of the Foundation for Open Access Statistics at www.foastat.org, and by contributing on their donation page.