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, <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>).

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
Author: Mirko Thalmann [aut, cre], Marcel Niklaus [aut], Klaus Oberauer [ths], John Kruschke [ctb]
Maintainer: Mirko Thalmann <mirkothalmann at hotmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: BayesRS results

Downloads:

Reference manual: BayesRS.pdf
Vignettes: An Introduction to BayesRS
Package source: BayesRS_0.1.3.tar.gz
Windows binaries: r-devel: BayesRS_0.1.3.zip, r-devel-gcc8: BayesRS_0.1.3.zip, r-release: BayesRS_0.1.3.zip, r-oldrel: BayesRS_0.1.3.zip
OS X binaries: r-release: BayesRS_0.1.3.tgz, r-oldrel: BayesRS_0.1.3.tgz
Old sources: BayesRS archive

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