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


Monitoring Data in R with the lumberjack Package PDF
Mark P. J. van der Loo
Bayesian Multivariate Spatial Models for Lattice Data with INLA PDF
Francisco Palmí-Perales, Virgilio Gómez-Rubio, Miguel A. Martinez-Beneito
Model-Based Clustering, Classification, and Discriminant Analysis Using the Generalized Hyperbolic Distribution: MixGHD R package PDF
Cristina Tortora, Ryan P. Browne, Aisha ElSherbiny, Brian C. Franczak, Paul D. McNicholas
FRK: An R Package for Spatial and Spatio-Temporal Prediction with Large Datasets PDF
Andrew Zammit-Mangion, Noel Cressie
Subgroup Identification Using the personalized Package PDF
Jared D. Huling, Menggang Yu
NScluster: An R Package for Maximum Palm Likelihood Estimation for Cluster Point Process Models Using OpenMP PDF
Ushio Tanaka, Masami Saga, Junji Nakano
Conformal Prediction with Orange PDF
Tomaž Hočevar, Blaž Zupan, Jonna Stålring
Analysis of Multiplex Social Networks with R PDF
Matteo Magnani, Luca Rossi, Davide Vega

Book Reviews

Data Visualization: Charts, Maps, and Interactive Graphics PDF
Ulrike Grömping

Software Reviews

Data Science in Stata 16: Frames, Lasso, and Python Integration PDF
Anson T. Y. Ho, Kim P. Huynh, David T. Jacho-Chávez, Diego Rojas-Baez

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.  
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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.