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. 109)

Articles

bizicount: Bivariate Zero-Inflated Count Copula Regression Using R

John M. Niehaus, Lin Zhu, Scott J. Cook, Mikyoung Jun
Vol. 109, Issue 1
Paper R package (bizicount) Replication materials

scikit-fda: A Python Package for Functional Data Analysis

Carlos Ramos-Carreño, José Luis Torrecilla, Miguel Carbajo-Berrocal, Pablo Marcos, Alberto Suárez
Vol. 109, Issue 2
Paper Python package (scikit-fda) Replication materials

openTSNE: A Modular Python Library for t-SNE Dimensionality Reduction and Embedding

Pavlin G. Poličar, Martin Stražar, Blaž Zupan
Vol. 109, Issue 3
Paper Python package (openTSNE) Replication materials

magi: A Package for Inference of Dynamic Systems from Noisy and Sparse Data via Manifold-Constrained Gaussian Processes

Samuel W. K. Wong, Shihao Yang, S. C. Kou
Vol. 109, Issue 4
Paper R package (magi) Replication materials

funGp: An R Package for Gaussian Process Regression with Scalar and Functional Inputs

José Betancourt, François Bachoc, Thierry Klein, Déborah Idier, Jérémy Rohmer, Yves Deville
Vol. 109, Issue 5
Paper R package (funGp) R replication code Supplementary data (R binary format)

Extremes.jl: Extreme Value Analysis in Julia

Jonathan Jalbert, Marilou Farmer, Gabriel Gobeil, Philippe Roy
Vol. 109, Issue 6
Paper Julia package (Extremes.jl) Julia replication code

cpop: Detecting Changes in Piecewise-Linear Signals

Paul Fearnhead, Daniel Grose
Vol. 109, Issue 7
Paper R package (cpop) R replication code

Generalized Plackett-Luce Likelihoods

Robin K. S. Hankin
Vol. 109, Issue 8
Paper R package (hyper2) R replication code

fHMM: Hidden Markov Models for Financial Time Series in R

Lennart Oelschläger, Timo Adam, Rouven Michels
Vol. 109, Issue 9
Paper R package (fHMM) R replication code

Emulation and History Matching Using the hmer Package

Andrew Iskauskas, Ian Vernon, Michael Goldstein, Danny Scarponi, Nicky McCreesh, Trevelyan J. McKinley, Richard G. White
Vol. 109, Issue 10
Paper R package (hmer) R replication code R replication code (Figure 2)
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