BayesRS: Bayes Factors for Hierarchical Linear Models with Continuous Predictors

Runs hierarchical linear Bayesian models. Samples from the posterior distributions of model parameters in JAGS (Just Another Gibbs Sampler; Plummer, 2017, <>). Computes Bayes factors for group parameters of interest with the Savage-Dickey density ratio (Wetzels, Raaijmakers, Jakab, Wagenmakers, 2009, <doi:10.3758/PBR.16.4.752>).

Version: 0.1.3
Depends: R (≥ 3.0.0)
Imports: rjags, ggplot2, metRology, grid, reshape, methods, coda
Suggests: R.rsp, testthat
Published: 2018-04-06
DOI: 10.32614/CRAN.package.BayesRS
Author: Mirko Thalmann [aut, cre], Marcel Niklaus [aut], Klaus Oberauer [ths], John Kruschke [ctb]
Maintainer: Mirko Thalmann <mirkothalmann at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: BayesRS results


Reference manual: BayesRS.pdf
Vignettes: An Introduction to BayesRS


Package source: BayesRS_0.1.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): BayesRS_0.1.3.tgz, r-oldrel (arm64): BayesRS_0.1.3.tgz, r-release (x86_64): BayesRS_0.1.3.tgz, r-oldrel (x86_64): BayesRS_0.1.3.tgz
Old sources: BayesRS archive


Please use the canonical form to link to this page.