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


The R Package MitISEM: Efficient and Robust Simulation Procedures for Bayesian Inference PDF
Nalan Baştürk, Stefano Grassi, Lennart Hoogerheide, Anne Opschoor, Herman K. van Dijk
Multinomial Logit Models with Continuous and Discrete Individual Heterogeneity in R: The gmnl Package PDF
Mauricio Sarrias, Ricardo Daziano
Kernel-Based Regularized Least Squares in R (KRLS) and Stata (krls) PDF
Jeremy Ferwerda, Jens Hainmueller, Chad J. Hazlett
httk: R Package for High-Throughput Toxicokinetics PDF
Robert G. Pearce, R. Woodrow Setzer, Cory L. Strope, Nisha S. Sipes, John F. Wambaugh
The cgeostat Software for Analyzing Complex-Valued Random Fields PDF
Sandra de Iaco
R Package ASMap: Efficient Genetic Linkage Map Construction and Diagnosis PDF
Julian Taylor, David Butler
SmoothHazard: An R Package for Fitting Regression Models to Interval-Censored Observations of Illness-Death Models PDF
Célia Touraine, Thomas A. Gerds, Pierre Joly
DPB: Dynamic Panel Binary Data Models in gretl PDF
Riccardo Lucchetti, Claudia Pigini
npbr: A Package for Nonparametric Boundary Regression in R PDF
Abdelaati Daouia, Thibault Laurent, Hohsuk Noh
Simulation of Synthetic Complex Data: The R Package simPop PDF
Matthias Templ, Bernhard Meindl, Alexander Kowarik, Olivier Dupriez

Code Snippets

GFD: An R Package for the Analysis of General Factorial Designs PDF
Sarah Friedrich, Frank Konietschke, Markus Pauly
plotROC: A Tool for Plotting ROC Curves PDF
Michael C. Sachs

Book Reviews

Bayesian Computation with R (2nd Edition) PDF
Hakan Demirtas

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.


Changes in editorial team  
In response to the continuing success of JSS we have expanded our editorial team aiming to further enhance the quality of publications and lower reviewing times and publication delays. First, Torsten Hothorn has joined as the fourth editor-in-chief. Second, we now have four editorial assistants who help with managing submissions, work flows, editing, technical checks, web services, etc.: Aaron Danielson, Gregor Kastner, Heidi Seibold, Reto Stauffer. Welcome to all the new members of the editorial team!

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, 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.

More Announcements...


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, and by contributing on their donation page.