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


Most Likely Transformations: The mlt Package PDF
Torsten Hothorn
The Calculus of M-Estimation in R with geex PDF
Bradley C. Saul, Michael G. Hudgens
PAFit: An R Package for the Non-Parametric Estimation of Preferential Attachment and Node Fitness in Temporal Complex Networks PDF
Thong Pham, Paul Sheridan, Hidetoshi Shimodaira
Integration of R and Scala Using rscala PDF
David B. Dahl
BPEC: An R Package for Bayesian Phylogeographic and Ecological Clustering PDF
Ioanna Manolopoulou, Axel Hille, Brent Emerson
The MOEADr Package: A Component-Based Framework for Multiobjective Evolutionary Algorithms Based on Decomposition PDF
Felipe Campelo, Lucas S. Batista, Claus Aranha
SQUAREM: An R Package for Off-the-Shelf Acceleration of EM, MM and Other EM-Like Monotone Algorithms PDF
Yu Du, Ravi Varadhan
Computing the Oja Median in R: The Package OjaNP PDF
Daniel Fischer, Karl Mosler, Jyrki Möttönen, Klaus Nordhausen, Oleksii Pokotylo, Daniel Vogel
spBayesSurv: Fitting Bayesian Spatial Survival Models Using R PDF
Haiming Zhou, Timothy Hanson, Jiajia Zhang
bridgesampling: An R Package for Estimating Normalizing Constants PDF
Quentin F. Gronau, Henrik Singmann, Eric-Jan Wagenmakers
Algebraic Analysis of Multiple Social Networks with multiplex PDF
J. Antonio Rivero Ostoic
Fitting Prediction Rule Ensembles with R Package pre PDF
Marjolein Fokkema

Code Snippets

Working with User Agent Strings in Stata: The parseuas Command PDF
Joss Roßmann, Tobias Gummer, Lars Kaczmirek
gdpc: An R Package for Generalized Dynamic Principal Components PDF
Daniel Peña, Ezequiel Smucler, Victor J. Yohai

Book Reviews

R Graphics (3rd Edition) PDF
Jose M. Pavía

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.