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BayesRS  

Bayes Factors for Hierarchical Linear Models with Continuous Predictors
View on CRAN: Click here


Download and install BayesRS package within the R console
Install from CRAN:
install.packages("BayesRS")

Install from Github:
library("remotes")
install_github("cran/BayesRS")

Install by package version:
library("remotes")
install_version("BayesRS", "0.1.3")



Attach the package and use:
library("BayesRS")
Maintained by
Mirko Thalmann
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-10-18
Latest Update: 2018-04-06
Description:
Runs hierarchical linear Bayesian models. Samples from the posterior distributions of model parameters in JAGS (Just Another Gibbs Sampler; Plummer, 2017, ). Computes Bayes factors for group parameters of interest with the Savage-Dickey density ratio (Wetzels, Raaijmakers, Jakab, Wagenmakers, 2009, ).
How to cite:
Mirko Thalmann (2017). BayesRS: Bayes Factors for Hierarchical Linear Models with Continuous Predictors. R package version 0.1.3, https://cran.r-project.org/web/packages/BayesRS. Accessed 06 Mar. 2026.
Previous versions and publish date:
0.1.2 (2017-10-18 17:08)
Other packages that cited BayesRS R package
View BayesRS citation profile
Other R packages that BayesRS depends, imports, suggests or enhances
Complete documentation for BayesRS
Functions, R codes and Examples using the BayesRS R package
Some associated functions: bayesrsdata . modelrun . 
Some associated R codes: HDIofMCMC.R . bayesrs-data.R . hello.R . modelrun.R . modeltext.R . plotPostMT_HDImeans2.R .  Full BayesRS package functions and examples
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