BayesRS: Bayes Factors for Hierarchical Linear Models with ContinuousPredictors
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 groupparameters 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 |
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