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. 100)

Articles

Software for Bayesian Statistics

Michela Cameletti, Virgilio Gómez-Rubio
Vol. 100, Issue 1
Paper

New Frontiers in Bayesian Modeling Using the INLA Package in R

Janet Van Niekerk, Haakon Bakka, Håvard Rue, Olaf Schenk
Vol. 100, Issue 2
Paper R package (INLA) R replication code

Sequential Monte Carlo Methods in the nimble and nimbleSMC R Packages

Nicholas Michaud, Perry de Valpine, Daniel Turek, Christopher J. Paciorek, Dao Nguyen
Vol. 100, Issue 3
Paper R package (nimbleSMC) R package (nimble) Replication materials

bamlss: A Lego Toolbox for Flexible Bayesian Regression (and Beyond)

Nikolaus Umlauf, Nadja Klein, Thorsten Simon, Achim Zeileis
Vol. 100, Issue 4
Paper R package (bamlss) R replication code Supplementary data (R binary format)

Bayesian Item Response Modeling in R with brms and Stan

Paul-Christian Bürkner
Vol. 100, Issue 5
Paper R package (brms) R replication code

Efficient Bayesian Structural Equation Modeling in Stan

Edgar C. Merkle, Ellen Fitzsimmons, James Uanhoro, Ben Goodrich
Vol. 100, Issue 6
Paper R package (blavaan) R replication code Replication materials

ABCpy: A High-Performance Computing Perspective to Approximate Bayesian Computation

Ritabrata Dutta, Marcel Schoengens, Lorenzo Pacchiardi, Avinash Ummadisingu, Nicole Widmer, Pierre Künzli, Jukka-Pekka Onnela, Antonietta Mira
Vol. 100, Issue 7
Paper Python package (ABCpy) Replication materials

pexm: A JAGS Module for Applications Involving the Piecewise Exponential Distribution

Vinícius D. Mayrink, João Daniel N. Duarte, Fábio N. Demarqui
Vol. 100, Issue 8
Paper R package (pexm) R replication code Replication materials

qgam: Bayesian Nonparametric Quantile Regression Modeling in R

Matteo Fasiolo, Simon N. Wood, Margaux Zaffran, Raphaël Nedellec, Yannig Goude
Vol. 100, Issue 9
Paper R package (qgam) R replication code

dalmatian: A Package for Fitting Double Hierarchical Linear Models in R via JAGS and nimble

Simon Bonner, Han-Na Kim, David Westneat, Ariane Mutzel, Jonathan Wright, Matthew Schofield
Vol. 100, Issue 10
Paper R package (dalmatian) R replication code

BayesSUR: An R Package for High-Dimensional Multivariate Bayesian Variable and Covariance Selection in Linear Regression

Zhi Zhao, Marco Banterle, Leonardo Bottolo, Sylvia Richardson, Alex Lewin, Manuela Zucknick
Vol. 100, Issue 11
Paper R package (BayesSUR) R replication code

Modeling Univariate and Multivariate Stochastic Volatility in R with stochvol and factorstochvol

Darjus Hosszejni, Gregor Kastner
Vol. 100, Issue 12
Paper R package (stochvol) R package (factorstochvol) R replication code

Shrinkage in the Time-Varying Parameter Model Framework Using the R Package shrinkTVP

Peter Knaus, Angela Bitto-Nemling, Annalisa Cadonna, Sylvia Frühwirth-Schnatter
Vol. 100, Issue 13
Paper R package (shrinkTVP) R replication code

BVAR: Bayesian Vector Autoregressions with Hierarchical Prior Selection in R

Nikolas Kuschnig, Lukas Vashold
Vol. 100, Issue 14
Paper R package (BVAR) R replication code

BNPmix: An R Package for Bayesian Nonparametric Modeling via Pitman-Yor Mixtures

Riccardo Corradin, Antonio Canale, Bernardo Nipoti
Vol. 100, Issue 15
Paper R package (BNPmix) R replication code

A Bayesian Approach for Model-Based Clustering of Several Binary Dissimilarity Matrices: The dmbc Package in R

Sergio Venturini, Raffaella Piccarreta
Vol. 100, Issue 16
Paper R package (dmbc) R replication code

Informed Bayesian Inference for the A/B Test

Quentin F. Gronau, Akash Raj K. N., Eric-Jan Wagenmakers
Vol. 100, Issue 17
Paper R package (abtest) R replication code

BFpack: Flexible Bayes Factor Testing of Scientific Theories in R

Joris Mulder, Donald R. Williams, Xin Gu, Andrew Tomarken, Florian Böing-Messing, Anton Olsson-Collentine, Marlyne Meijerink-Bosman, Janosch Menke, Robbie van Aert, Jean-Paul Fox, Herbert Hoijtink, Yves Rosseel, Eric-Jan Wagenmakers, Caspar van Lissa
Vol. 100, Issue 18
Paper R package (BFpack) R replication code

Applying Meta-Analytic-Predictive Priors with the R Bayesian Evidence Synthesis Tools

Sebastian Weber, Yue Li, John W. Seaman III, Tomoyuki Kakizume, Heinz Schmidli
Vol. 100, Issue 19
Paper R package (RBesT) R replication code

JointAI: Joint Analysis and Imputation of Incomplete Data in R

Nicole S. Erler, Dimitris Rizopoulos, Emmanuel M. E. H. Lesaffre
Vol. 100, Issue 20
Paper R package (JointAI) R replication code

BayesCTDesign: An R Package for Bayesian Trial Design Using Historical Control Data

Barry S. Eggleston, Joseph G. Ibrahim, Becky McNeil, Diane Catellier
Vol. 100, Issue 21
Paper R package (BayesCTDesign) R replication code Replication materials Supplementary tables
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