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


ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R PDF
Marvin N. Wright, Andreas Ziegler
Bayesian Network Constraint-Based Structure Learning Algorithms: Parallel and Optimized Implementations in the bnlearn R Package PDF
Marco Scutari
wsrf: An R Package for Classification with Scalable Weighted Subspace Random Forests PDF
He Zhao, Graham J. Williams, Joshua Zhexue Huang
spatsurv: An R Package for Bayesian Inference with Spatial Survival Models PDF
Benjamin M. Taylor, Barry S. Rowlingson
Continuous Time Structural Equation Modeling with R Package ctsem PDF
Charles C. Driver, Johan H. L. Oud, Manuel C. Voelkle
Anthropometry: An R Package for Analysis of Anthropometric Data PDF
Guillermo Vinué
Fitting Nonlinear Structural Equation Models in R with Package nlsem PDF
Nora Umbach, Katharina Naumann, Holger Brandt, Augustin Kelava
Gaussian Copula Regression in R PDF
Guido Masarotto, Cristiano Varin
Iterative Bias Reduction Multivariate Smoothing in R: The ibr Package PDF
Pierre-André Cornillon, Nicolas Hengartner, Eric Matzner-Løber
NonpModelCheck: An R Package for Nonparametric Lack-of-Fit Testing and Variable Selection PDF
Adriano Zanin Zambom, Michael G. Akritas
Spatio-Temporal Analysis of Epidemic Phenomena Using the R Package surveillance PDF
Sebastian Meyer, Leonhard Held, Michael Höhle
QoLR: An R Package for the Longitudinal Analysis of Health-Related Quality of Life in Oncology PDF
Amélie Anota, Marion Savina, Caroline Bascoul-Mollevi, Franck Bonnetain
Software for Distributed Computation on Medical Databases: A Demonstration Project PDF
Balasubramanian Narasimhan, Daniel L. Rubin, Samuel M. Gross, Marina Bendersky, Philip W. Lavori

Code Snippets

A SAS Macro for Covariate-Constrained Randomization of General Cluster-Randomized and Unstratified Designs PDF
Erich J. Greene

Book Reviews

R for Data Science PDF
Christopher Lortie
ggplot2 - Elegant Graphics for Data Analysis (2nd Edition) PDF
Virgilio Gómez-Rubio
An Introduction to Stata Programming (2nd Edition) PDF
Oliver Kirchkamp, Hiltrud Niggemann

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.