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


Distance Sampling in R PDF
David L. Miller, Eric Rexstad, Len Thomas, Laura Marshall, Jeffrey L. Laake
BFDA: A MATLAB Toolbox for Bayesian Functional Data Analysis PDF
Jingjing Yang, Peng Ren
BDgraph: An R Package for Bayesian Structure Learning in Graphical Models PDF
Reza Mohammadi, Ernst C. Wit
Directional Statistics and Filtering Using libDirectional PDF
Gerhard Kurz, Igor Gilitschenski, Florian Pfaff, Lukas Drude, Uwe D. Hanebeck, Reinhold Haeb-Umbach, Roland Y. Siegwart
cgam: An R Package for the Constrained Generalized Additive Model PDF
Xiyue Liao, Mary C. Meyer
Wavelet-Based and Fourier-Based Multivariate Whittle Estimation: multiwave PDF
Sophie Achard, Irène Gannaz
OasisR: An R Package to Bring Some Order to the World of Segregation Measurement PDF
Mihai Tivadar
GPareto: An R Package for Gaussian-Process-Based Multi-Objective Optimization and Analysis PDF
Mickaël Binois, Victor Picheny
Bayesian, and Non-Bayesian, Cause-Specific Competing-Risk Analysis for Parametric and Nonparametric Survival Functions: The R Package CFC PDF
Alireza S. Mahani, Mansour T. A. Sharabiani
Model-Based Dose Escalation Designs in R with crmPack PDF
Daniel Sabanés Bové, Wai Yin Yeung, Giuseppe Palermo, Thomas Jaki
Randomized Matrix Decompositions Using R PDF
N. Benjamin Erichson, Sergey Voronin, Steven L. Brunton, J. Nathan Kutz
Hyperspectral Data Analysis in R: The hsdar Package PDF
Lukas W. Lehnert, Hanna Meyer, Wolfgang A. Obermeier, Brenner Silva, Bianca Regeling, Jörg Bendix
ggenealogy: An R Package for Visualizing Genealogical Data PDF
Lindsay Rutter, Susan VanderPlas, Dianne Cook, Michelle A. Graham

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.