Recent Publications
Articles
| hergm: Hierarchical Exponential-Family Random Graph Models | |
| Michael Schweinberger, Pamela Luna |
| RRreg: An R Package for Correlation and Regression Analyses of Randomized Response Data | |
| Daniel W. Heck, Morten Moshagen |
| ISAP-MATLAB Package for Sensitivity Analysis of High-Dimensional Stochastic Chemical Networks | |
| Weilong Hu, Yannis Pantazis, Markos A. Katsoulakis |
| blavaan: Bayesian Structural Equation Models via Parameter Expansion | |
| Edgar C. Merkle, Yves Rosseel |
| R Package DoE.base for Factorial Experiments | |
| Ulrike Grömping |
| Bayesian Linear Mixed Models with Polygenic Effects | |
| Jing Hua Zhao, Jian'an Luan, Peter Congdon |
| beanz: An R Package for Bayesian Analysis of Heterogeneous Treatment Effects with a Graphical User Interface | |
| Chenguang Wang, Thomas A. Louis, Nicholas C. Henderson, Carlos O. Weiss, Ravi Varadhan |
| randomizeR: An R Package for the Assessment and Implementation of Randomization in Clinical Trials | |
| Diane Uschner, David Schindler, Ralf-Dieter Hilgers, Nicole Heussen |
| Generalization, Combination and Extension of Functional Clustering Algorithms: The R Package funcy | |
| Christina Yassouridis, Dominik Ernst, Friedrich Leisch |
| ContaminatedMixt: An R Package for Fitting Parsimonious Mixtures of Multivariate Contaminated Normal Distributions | |
| Antonio Punzo, Angelo Mazza, Paul D. McNicholas |
| NeuralNetTools: Visualization and Analysis Tools for Neural Networks | |
| Marcus W. Beck |
| rmcfs: An R Package for Monte Carlo Feature Selection and Interdependency Discovery | |
| Michał Dramiński, Jacek Koronacki |
| Developer-Friendly and Computationally Efficient Predictive Modeling without Information Leakage: The emil Package for R | |
| Christofer L. Bäcklin, Mats G. Gustafsson |
Code Snippets
| QXLA: Adding Upper Quantiles for the Studentized Range to Excel for Multiple Comparison Procedures | |
| K. Thomas Klasson |
Book Reviews
| Testing R Code | |
| Daniel Grose |
| Flexible Regression and Smoothing: Using GAMLSS in R | |
| Xavier Barber |
| Applied Time Series Analysis with R (2nd Edition) | |
| Christopher Lortie |
| Flexible Imputation of Missing Data | |
| 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. |