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
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 hotmail.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
CRAN checks:	BayesRS results

Documentation:

Reference manual:	BayesRS.html , BayesRS.pdf
Vignettes:	An Introduction to BayesRS (source)

Downloads:

Package source:	BayesRS_0.1.3.tar.gz
Windows binaries:	r-devel: BayesRS_0.1.3.zip, r-release: BayesRS_0.1.3.zip, r-oldrel: BayesRS_0.1.3.zip
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

Linking:

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