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

Recent Publications


Nonparametric Machine Learning and Efficient Computation with Bayesian Additive Regression Trees: The BART R Package PDF
Rodney Sparapani, Charles Spanbauer, Robert McCulloch
microsynth: Synthetic Control Methods for Disaggregated and Micro-Level Data in R PDF
Michael W. Robbins, Steven Davenport
Simulating Survival Data Using the simsurv R Package PDF
Samuel L. Brilleman, Rory Wolfe, Margarita Moreno-Betancur, Michael J. Crowther
The R Package forestinventory: Design-Based Global and Small Area Estimations for Multiphase Forest Inventories PDF
Andreas Hill, Alexander Massey, Daniel Mandallaz
svars: An R Package for Data-Driven Identification in Multivariate Time Series Analysis PDF
Alexander Lange, Bernhard Dalheimer, Helmut Herwartz, Simone Maxand
Ball: An R Package for Detecting Distribution Difference and Association in Metric Spaces PDF
Jin Zhu, Wenliang Pan, Wei Zheng, Xueqin Wang
FamEvent: An R Package for Generating and Modeling Time-to-Event Data in Family Designs PDF
Yun-Hee Choi, Laurent Briollais, Wenqing He, Karen Kopciuk
mosum: A Package for Moving Sums in Change-Point Analysis PDF
Alexander Meier, Claudia Kirch, Haeran Cho
multimode: An R Package for Mode Assessment PDF
Jose Ameijeiras-Alonso, Rosa M. Crujeiras, Alberto Rodriguez-Casal
Data Validation Infrastructure for R PDF
Mark P. J. van der Loo, Edwin de Jonge

Code Snippets

R-Friendly Multi-Threading in C++ PDF
Thomas Nagler

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.


New editorial team members  
To sustain the success of JSS in the next years, we have expanded and restructured the editorial team: Rebecca Killick has joined as the fifth Editor-in-Chief, Heidi Seibold became the dedicated Replication Editor for the journal and Reto Stauffer the dedicated Technical Editor. Furthermore, the new Assistant Editors Luisa Barbanti, Balint Tamasi, and Sandra Siegfried support the editing of manuscripts and replication materials.  
More Announcements...

Sponsored by


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.