Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina Grün, Edzer Pebesma & Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Journal of Statistical Software

Recent Publications


Fitting Linear Mixed-Effects Models Using lme4 PDF
Douglas Bates, Martin Mächler, Ben Bolker, Steve Walker
Multivariate and 2D Extensions of Singular Spectrum Analysis with the Rssa Package PDF
Nina Golyandina, Anton Korobeynikov, Alex Shlemov, Konstantin Usevich
Threshold Value Estimation Using Adaptive Two-Stage Plans in R PDF
Shawn Mankad, George Michailidis, Moulinath Banerjee
Statistical Disclosure Control for Micro-Data Using the R Package sdcMicro PDF
Matthias Templ, Alexander Kowarik, Bernhard Meindl
pdc: An R Package for Complexity-Based Clustering of Time Series PDF
Andreas M. Brandmaier
Rmixmod: The R Package of the Model-Based Unsupervised, Supervised, and Semi-Supervised Classification Mixmod Library PDF
Rémi Lebret, Serge Iovleff, Florent Langrognet, Christophe Biernacki, Gilles Celeux, Gérard Govaert
The glarma Package for Observation-Driven Time Series Regression of Counts PDF
William T. M. Dunsmuir, David J. Scott
entropart: An R Package to Measure and Partition Diversity PDF
Eric Marcon, Bruno Hérault
sanon: An R Package for Stratified Analysis with Nonparametric Covariable Adjustment PDF
Atsushi Kawaguchi, Gary G. Koch
Bayesian State-Space Modelling on High-Performance Hardware Using LibBi PDF
Lawrence M. Murray

Code Snippets

The Forward Search for Very Large Datasets PDF
Marco Riani, Domenico Perrotta, Andrea Cerioli
%lrasch_mml: A SAS Macro for Marginal Maximum Likelihood Estimation in Longitudinal Polytomous Rasch Models PDF
Maja Olsbjerg, Karl Bang Christensen
Tools to Characterize Point Patterns: dbmss for R PDF
Eric Marcon, Stéphane Traissac, Florence Puech, Gabriel Lang

Book Reviews

Data-Driven Modeling & Scientific Computation: Methods for Complex Systems & Big Data PDF
James P. Howard, II
R for Marketing Research and Analytics PDF
Thomas Rusch
Bayesian Essentials with R PDF
Alexandra Posekany
An Introduction to R for Quantitative Economics PDF
Paul Hofmarcher
Statistics: An Introduction Using R (2nd Edition) PDF
James E. Helmreich
Hurricane Climatology: A Modern Statistical Guide Using R PDF
Joseph M. Hilbe
Uncertainty Quantification and Stochastic Modeling with MATLAB PDF
James P. Howard, II

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 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.

DOIs for JSS publications  
The Journal of Statistical Software now provides DOIs (digital object identifiers, for its publications. For example, doi:10.18637/jss.v063.i01 refers to the introduction to the recent special volume on software for spatial statistics. The DOIs for past publications are listed on the respective web page. Future publications (starting from Volume 67) will also show the DOIs in the PDF manuscripts - and also provide DOIs for the references cited in the manuscripts.

Special Volume 63  
Special volume 63 on Software for Spatial Statistics, Editors: Edzer Pebesma, Roger Bivand and Paulo Justiano Ribeiro is now available.  
Special Volume 60  
Special volume 60 on Optimization, Editor: Ravi Varadhan is now available.  
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.