JSS logo Established in 1996, the Journal of Statistical Software publishes articles on statistical software along with the source code of the software itself and replication code for all empirical results. Furthermore, shorter code snippets are published as well as book reviews and software reviews. All contents are freely available online under open licenses. We aim to present research that demonstrates the joint evolution of computational and statistical methods and facilitates their application in practice. Implementations can use languages and environments like R, Python, Julia, MATLAB, SAS, Stata, C, C++, Fortran, among others. See our mission statement for more details.

Recent Publications (Vol. 105)

Articles

cglasso: An R Package for Conditional Graphical Lasso Inference with Censored and Missing Values

Luigi Augugliaro, Gianluca Sottile, Ernst C. Wit, Veronica Vinciotti
Vol. 105, Issue 1
Paper R package (cglasso) R replication code

deepregression: A Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression

David Rügamer, Chris Kolb, Cornelius Fritz, Florian Pfisterer, Philipp Kopper, Bernd Bischl, Ruolin Shen, Christina Bukas, Lisa Barros de Andrade e Sousa, Dominik Thalmeier, Philipp F. M. Baumann, Lucas Kook, Nadja Klein, Christian L. Müller
Vol. 105, Issue 2
Paper R package (deepregression) R replication code Replication data (munich) Replication data (32_1) Replication data (32_2)

spsurvey: Spatial Sampling Design and Analysis in R

Michael Dumelle, Tom Kincaid, Anthony R. Olsen, Marc Weber
Vol. 105, Issue 3
Paper R package (spsurvey) R replication code Replication materials Replication data (NLA12)

jumpdiff: A Python Library for Statistical Inference of Jump-Diffusion Processes in Observational or Experimental Data Sets

Leonardo Rydin Gorjão, Dirk Witthaut, Pedro G. Lind
Vol. 105, Issue 4
Paper Python package (jumpdiff) Replication materials

Regression Modeling for Recurrent Events Possibly with an Informative Terminal Event Using R Package reReg

Sy Han Chiou, Gongjun Xu, Jun Yan, Chiung-Yu Huang
Vol. 105, Issue 5
Paper R package (reReg) R replication code

ergm 4: New Features for Analyzing Exponential-Family Random Graph Models

Pavel N. Krivitsky, David R. Hunter, Martina Morris, Chad Klumb
Vol. 105, Issue 6
Paper R package (ergm) R replication code

Expanding Tidy Data Principles to Facilitate Missing Data Exploration, Visualization and Assessment of Imputations

Nicholas Tierney, Dianne Cook
Vol. 105, Issue 7
Paper R package (naniar) R replication code Replication data

Additive Bayesian Network Modeling with the R Package abn

Gilles Kratzer, Fraser Lewis, Arianna Comin, Marta Pittavino, Reinhard Furrer
Vol. 105, Issue 8
Paper R package (abn) Replication materials

Bayesian Structure Learning and Sampling of Bayesian Networks with the R Package BiDAG

Polina Suter, Jack Kuipers, Giusi Moffa, Niko Beerenwinkel
Vol. 105, Issue 9
Paper R package (BiDAG) R replication code
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