Recent Publications
Articles
| Nonparametric Machine Learning and Efficient Computation with Bayesian Additive Regression Trees: The BART R Package | |
| Rodney Sparapani, Charles Spanbauer, Robert McCulloch |
| microsynth: Synthetic Control Methods for Disaggregated and Micro-Level Data in R | |
| Michael W. Robbins, Steven Davenport |
| Simulating Survival Data Using the simsurv R Package | |
| Samuel L. Brilleman, Rory Wolfe, Margarita Moreno-Betancur, Michael J. Crowther |
| The R Package forestinventory: Design-Based Global and Small Area Estimations for Multiphase Forest Inventories | |
| Andreas Hill, Alexander Massey, Daniel Mandallaz |
| svars: An R Package for Data-Driven Identification in Multivariate Time Series Analysis | |
| Alexander Lange, Bernhard Dalheimer, Helmut Herwartz, Simone Maxand |
| Ball: An R Package for Detecting Distribution Difference and Association in Metric Spaces | |
| Jin Zhu, Wenliang Pan, Wei Zheng, Xueqin Wang |
| FamEvent: An R Package for Generating and Modeling Time-to-Event Data in Family Designs | |
| Yun-Hee Choi, Laurent Briollais, Wenqing He, Karen Kopciuk |
| mosum: A Package for Moving Sums in Change-Point Analysis | |
| Alexander Meier, Claudia Kirch, Haeran Cho |
| multimode: An R Package for Mode Assessment | |
| Jose Ameijeiras-Alonso, Rosa M. Crujeiras, Alberto Rodriguez-Casal |
| Data Validation Infrastructure for R | |
| Mark P. J. van der Loo, Edwin de Jonge |
Code Snippets
| R-Friendly Multi-Threading in C++ | |
| Thomas Nagler |
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
| New editorial team members | |
| To sustain the success of JSS in the next years, we have expanded and restructured the editorial team: Rebecca Killick has joined as the fifth Editor-in-Chief, Heidi Seibold became the dedicated Replication Editor for the journal and Reto Stauffer the dedicated Technical Editor. Furthermore, the new Assistant Editors Luisa Barbanti, Balint Tamasi, and Sandra Siegfried support the editing of manuscripts and replication materials. | |
| More Announcements... |
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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. |