Recent Publications
Articles
| The R Package MitISEM: Efficient and Robust Simulation Procedures for Bayesian Inference | |
| Nalan Baştürk, Stefano Grassi, Lennart Hoogerheide, Anne Opschoor, Herman K. van Dijk |
| Multinomial Logit Models with Continuous and Discrete Individual Heterogeneity in R: The gmnl Package | |
| Mauricio Sarrias, Ricardo Daziano |
| Kernel-Based Regularized Least Squares in R (KRLS) and Stata (krls) | |
| Jeremy Ferwerda, Jens Hainmueller, Chad J. Hazlett |
| httk: R Package for High-Throughput Toxicokinetics | |
| Robert G. Pearce, R. Woodrow Setzer, Cory L. Strope, Nisha S. Sipes, John F. Wambaugh |
| The cgeostat Software for Analyzing Complex-Valued Random Fields | |
| Sandra de Iaco |
| R Package ASMap: Efficient Genetic Linkage Map Construction and Diagnosis | |
| Julian Taylor, David Butler |
| SmoothHazard: An R Package for Fitting Regression Models to Interval-Censored Observations of Illness-Death Models | |
| Célia Touraine, Thomas A. Gerds, Pierre Joly |
| DPB: Dynamic Panel Binary Data Models in gretl | |
| Riccardo Lucchetti, Claudia Pigini |
| npbr: A Package for Nonparametric Boundary Regression in R | |
| Abdelaati Daouia, Thibault Laurent, Hohsuk Noh |
| Simulation of Synthetic Complex Data: The R Package simPop | |
| Matthias Templ, Bernhard Meindl, Alexander Kowarik, Olivier Dupriez |
Code Snippets
| GFD: An R Package for the Analysis of General Factorial Designs | |
| Sarah Friedrich, Frank Konietschke, Markus Pauly |
| plotROC: A Tool for Plotting ROC Curves | |
| Michael C. Sachs |
Book Reviews
| Bayesian Computation with R (2nd Edition) | |
| Hakan Demirtas |
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. |