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.

Software for Bayesian Statistics

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

New Frontiers in Bayesian Modeling Using the INLA Package in R

Janet Van Niekerk, Haakon Bakka, Håvard Rue, Olaf Schenk
Vol. 100, Issue 2

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

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

qgam: Bayesian Nonparametric Quantile Regression Modeling in R

Matteo Fasiolo, Simon N. Wood, Margaux Zaffran, Raphaël Nedellec, Yannig Goude
Vol. 100, Issue 9

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

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

Informed Bayesian Inference for the A/B Test

Quentin F. Gronau, Akash Raj K. N., Eric-Jan Wagenmakers
Vol. 100, Issue 17

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

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

JointAI: Joint Analysis and Imputation of Incomplete Data in R

Nicole S. Erler, Dimitris Rizopoulos, Emmanuel M. E. H. Lesaffre
Vol. 100, Issue 20
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