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

Recent Publications


cdfquantreg: An R Package for CDF-Quantile Regression PDF
Yiyun Shou, Michael Smithson
JASP: Graphical Statistical Software for Common Statistical Designs PDF
Jonathon Love, Ravi Selker, Maarten Marsman, Tahira Jamil, Damian Dropmann, Josine Verhagen, Alexander Ly, Quentin F. Gronau, Martin Šmíra, Sacha Epskamp, Dora Matzke, Anneliese Wild, Patrick Knight, Jeffrey N. Rouder, Richard D. Morey, Eric-Jan Wagenmakers
Mixture Hidden Markov Models for Sequence Data: The seqHMM Package in R PDF
Satu Helske, Jouni Helske
The R Package MAMS for Designing Multi-Arm Multi-Stage Clinical Trials PDF
Thomas Jaki, Philip Pallmann, Dominic Magirr
dtwSat: Time-Weighted Dynamic Time Warping for Satellite Image Time Series Analysis in R PDF
Victor Maus, Gilberto Câmara, Marius Appel, Edzer Pebesma
Generalized Autoregressive Score Models in R: The GAS Package PDF
David Ardia, Kris Boudt, Leopoldo Catania
CoClust: A Python Package for Co-Clustering PDF
François Role, Stanislas Morbieu, Mohamed Nadif
plssem: A Stata Package for Structural Equation Modeling with Partial Least Squares PDF
Sergio Venturini, Mehmet Mehmetoglu
BTLLasso: A Common Framework and Software Package for the Inclusion and Selection of Covariates in Bradley-Terry Models PDF
Gunther Schauberger, Gerhard Tutz

Code Snippets

ETAS: An R Package for Fitting the Space-Time ETAS Model to Earthquake Data PDF
Abdollah Jalilian
Getting Started with Particle Metropolis-Hastings for Inference in Nonlinear Dynamical Models PDF
Johan Dahlin, Thomas B. Schön

Book Reviews

Data Analysis Using Hierarchical Generalized Linear Models with R PDF
Carmen Armero

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.