Journal of Statistical Software

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.

modelsummary: Data and Model Summaries in R

Vincent Arel-Bundock

Vol. 103, Issue 1

Paper R package (modelsummary) R replication code

stringi: Fast and Portable Character String Processing in R

Marek Gagolewski

Vol. 103, Issue 2

Paper R package (stringi) R replication code Replication materials Replication materials

evgam: An R Package for Generalized Additive Extreme Value Models

Benjamin D. Youngman

Vol. 103, Issue 3

Paper R package (evgam) R replication code

scikit-mobility: A Python Library for the Analysis, Generation, and Risk Assessment of Mobility Data

Luca Pappalardo, Filippo Simini, Gianni Barlacchi, Roberto Pellungrini

Vol. 103, Issue 4

Paper Python package (scikit-mobility) Python replication code Replication materials

spNNGP R Package for Nearest Neighbor Gaussian Process Models

Andrew O. Finley, Abhirup Datta, Sudipto Banerjee

Vol. 103, Issue 5

Paper R package (spNNGP) R replication code Replication materials

Feller-Pareto and Related Distributions: Numerical Implementation and Actuarial Applications

Christophe Dutang, Vincent Goulet, Nicholas Langevin

Vol. 103, Issue 6

Paper R package (actuar) R replication code

Hierarchical Clustering with Contiguity Constraint in R

Guillaume Guénard, Pierre Legendre

Vol. 103, Issue 7

Paper R package (adespatial) Replication materials

On the Programmatic Generation of Reproducible Documents

Michael Kane, Xun (Tony) Jiang, Simon Urbanek

Vol. 103, Issue 8

Paper R package (listdown) R replication code

Automatic Identification and Forecasting of Structural Unobserved Components Models with UComp

Diego J. Pedregal

Vol. 103, Issue 9

Paper R package (UComp) MATLAB package (UComp) R replication code MATLAB replication code STAMP replication code

exuber: Recursive Right-Tailed Unit Root Testing with R

Kostas Vasilopoulos, Efthymios Pavlidis, Enrique Martínez-García

Vol. 103, Issue 10

Paper R package (exuber) R replication code Replication materials

Blang: Bayesian Declarative Modeling of General Data Structures and Inference via Algorithms Based on Distribution Continua

Alexandre Bouchard-Côté, Kevin Chern, Davor Cubranic, Sahand Hosseini, Justin Hume, Matteo Lepur, Zihui Ouyang, Giorgio Sgarbi

Vol. 103, Issue 11

Paper Source code (blangSDK) Replication materials

[RETRACTED ARTICLE] irtplay: An R Package for Unidimensional Item Response Theory Modeling

Hwanggyu Lim, Craig S. Wells

Vol. 103, Issue 12

[RETRACTED] Paper [RETRACTED] R package [RETRACTED] Replication code

Robust Mediation Analysis: The R Package robmed

Andreas Alfons, Nüfer Y. Ateş, Patrick J. F. Groenen

Vol. 103, Issue 13

Paper R package (robmed) R replication code

HighFrequencyCovariance: A Julia Package for Estimating Covariance Matrices Using High Frequency Financial Data

Stuart Baumann, Margaryta Klymak

Vol. 103, Issue 14

Paper Julia source package (HighFrequencyCovariance) Julia replication code Replication materials

Bambi: A Simple Interface for Fitting Bayesian Linear Models in Python

Tomás Capretto, Camen Piho, Ravin Kumar, Jacob Westfall, Tal Yarkoni, Osvaldo A Martin

Vol. 103, Issue 15

Paper Python package (Bambi) Replication materials

Spbsampling: An R Package for Spatially Balanced Sampling

Francesco Pantalone, Roberto Benedetti, Federica Piersimoni

Vol. 103, Code Snippet 2

Paper R package (Spbsampling) R replication code Supplementary data

plot3logit: Ternary Plots for Interpreting Trinomial Regression Models

Flavio Santi, Maria Michela Dickson, Giuseppe Espa, Diego Giuliani

Vol. 103, Code Snippet 1

Paper R package (plot3logit) R replication code

Learning Base R (2nd Edition)

James E. Helmreich

Vol. 103, Book Review 1

Paper

Python and R for the Modern Data Scientist

Christopher J. Lortie

Vol. 103, Book Review 2

Paper

View All Issues

You can help us to improve our editorial management system by reporting possible issues [read more].

Journal Information

Publisher:Foundation for Open Access Statistics
Editors-in-chief:Bettina Grün, Torsten Hothorn, Rebecca Killick, Achim Zeileis
Board:Editorial Team
ISSN:1548-7660
CODEN:JSSOBK

Latest Announcements

Transition to new editorial system
2021-09-27
New editorial team members
2021-03-19
Changes in editorial team
2017-01-29

Support

As a matter of principle, JSS charges no author fees or subscription fees. Our editors, reviewers, and programmers are volunteers. Universität Innsbruck, Universität Zürich, and UCLA Statistics provide 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.

Recent Publications (Vol. 103)

Articles