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).
- Version0.1.3
- R version≥ 3.0.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release04/06/2018
Documentation
Team
Mirko Thalmann
Marcel Niklaus
Show author detailsRolesAuthorKlaus Oberauer
Show author detailsRolesThesis advisorJohn Kruschke
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 237 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 9 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,822 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jan 21, 2025 with 29 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Imports5 packages
- Suggests2 packages