Recent Publications
Articles
| Most Likely Transformations: The mlt Package | |
| Torsten Hothorn |
| The Calculus of M-Estimation in R with geex | |
| 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 | |
| Thong Pham, Paul Sheridan, Hidetoshi Shimodaira |
| Integration of R and Scala Using rscala | |
| David B. Dahl |
| BPEC: An R Package for Bayesian Phylogeographic and Ecological Clustering | |
| Ioanna Manolopoulou, Axel Hille, Brent Emerson |
| The MOEADr Package: A Component-Based Framework for Multiobjective Evolutionary Algorithms Based on Decomposition | |
| 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 | |
| Yu Du, Ravi Varadhan |
| Computing the Oja Median in R: The Package OjaNP | |
| Daniel Fischer, Karl Mosler, Jyrki Möttönen, Klaus Nordhausen, Oleksii Pokotylo, Daniel Vogel |
| spBayesSurv: Fitting Bayesian Spatial Survival Models Using R | |
| Haiming Zhou, Timothy Hanson, Jiajia Zhang |
| bridgesampling: An R Package for Estimating Normalizing Constants | |
| Quentin F. Gronau, Henrik Singmann, Eric-Jan Wagenmakers |
| Algebraic Analysis of Multiple Social Networks with multiplex | |
| J. Antonio Rivero Ostoic |
| Fitting Prediction Rule Ensembles with R Package pre | |
| Marjolein Fokkema |
Code Snippets
| Working with User Agent Strings in Stata: The parseuas Command | |
| Joss Roßmann, Tobias Gummer, Lars Kaczmirek |
| gdpc: An R Package for Generalized Dynamic Principal Components | |
| Daniel Peña, Ezequiel Smucler, Victor J. Yohai |
Book Reviews
| R Graphics (3rd Edition) | |
| Jose M. Pavía |
Established 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.
Announcements
| 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! |
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| 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). |
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| New JSS server | |
| The Journal of Statistical Software moved to a new server based on Open Journal Systems (OJS, http://pkp.sfu.ca/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. |
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| More Announcements... |
Support
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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 www.foastat.org, and by contributing on their donation page. |