This package is considered a duplicate. The official version of this package is found at:https://mirkoth.r-universe.dev/BayesRS
Package: BayesRS 0.1.3
Mirko Thalmann
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>).
Authors:
BayesRS_0.1.3.tar.gz
BayesRS_0.1.3.zip(r-4.7-any)BayesRS_0.1.3.zip(r-4.6-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://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- bayesrsdata - Example Data Set
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:c839a7bbe5. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 128 | ||
| source / vignettes | OK | 181 | ||
| linux-release | OK | 124 | ||
| windows-devel | OK | 69 | ||
| windows-release | OK | 84 | ||
| wasm-release | OK | 95 |
Exports:modelrun
Dependencies:clicodacpp11DEoptimRfarverggplot2gluegtableisobandlabelinglatticelifecycleMASSmetRologynumDerivplyrR6RColorBrewerRcppreshaperjagsrlangrobustbaseS7scalesvctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Example Data Set | bayesrsdata |
| Bayes Factors, Posterior Samples, & DIC | modelrun |