Bayes Factors for Hierarchical Linear Models with Continuous Predictors R package BayesRS version 0.1.3 Runs hierarchical linear Bayesian models. Samples from the posterior distributions of model parameters in JAGS (Just Another Gibbs Sampler; Plummer, 2017, <http://mcmc-jags.sourceforge.net>). 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>). Software Depends: R (>= 3.0.0) Imports: rjags, ggplot2, metRology, grid, reshape, methods, coda Suggests: R.rsp, testthat Mirko Thalmann <mirkothalmann@hotmail.com> Comprehensive R Archive Network (CRAN) Mirko Thalmann [aut, cre], Marcel Niklaus [aut], Klaus Oberauer [ths], John Kruschke [ctb] GPL (>= 2) 2018-04-06 application/tgz https://CRAN.R-project.org/package=BayesRS doi:10.32614/CRAN.package.BayesRS