Package: BayesRS 0.1.3

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, 2003, <doi:10.1.1.13.3406>). 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>).

Authors:Mirko Thalmann [aut, cre], Marcel Niklaus [aut], Klaus Oberauer [ths], John Kruschke [ctb]

BayesRS_0.1.3.tar.gz
BayesRS_0.1.3.zip(r-4.7)BayesRS_0.1.3.zip(r-4.6)BayesRS_0.1.3.zip(r-4.5)
BayesRS_0.1.3.tgz(r-4.6-any)BayesRS_0.1.3.tgz(r-4.5-any)
BayesRS_0.1.3.tar.gz(r-4.7-any)BayesRS_0.1.3.tar.gz(r-4.6-any)
BayesRS_0.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
BayesRS/json (API)

# Install 'BayesRS' in R:

install.packages('BayesRS', repos = c('https://mirkoth.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mirkoth/bayesrs/issues

Uses libs:

jags– Just Another Gibbs Sampler for Bayesian MCMC
c++– GNU Standard C++ Library v3

Datasets:

bayesrsdata - Example Data Set

On CRAN:

jags cpp

4.00 score 11 scripts 228 downloads 9 mentions 1 exports 28 dependencies

Last updated from:ed4bafe952. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	145
source / vignettes	OK	160
linux-release-x86_64	OK	136
macos-release-arm64	OK	167
macos-oldrel-arm64	OK	254
windows-devel	OK	97
windows-release	OK	89
windows-oldrel	OK	81
wasm-release	OK	104