Effect size targeted Bayesian two-sample t-tests via Markov chain Monte Carlo in Gaussian mixture models
Provides an Markov-Chain-Monte-Carlo algorithm for Bayesian t-tests on the effect size. The underlying Gibbs sampler is based on a two-component Gaussian mixture and approximates the posterior distributions of the effect size, the difference of means and difference of standard deviations. A posterior analysis of the effect size via the region of practical equivalence is provided as well.
Provides an Markov-Chain-Monte-Carlo algorithm for Bayesian t-tests on the effect size. The underlying Gibbs sampler is based on a two-component Gaussian mixture and approximates the posterior distributions of the effect size, the difference of means and difference of standard deviations. A posterior analysis of the effect size via the region of practical equivalence is provided as well.
To install R-bayest, run the following command in macOS terminal (Applications->Utilities->Terminal)
sudo port install R-bayest
To see what files were installed by R-bayest, run:
port contents R-bayest
To later upgrade R-bayest, run:
sudo port selfupdate && sudo port upgrade R-bayest
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