bayest: Effect Size Targeted Bayesian Two-Sample t-Tests via MarkovChain 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, too. For more details about the Gibbs sampler see Kelter (2019) <doi:10.48550/arXiv.1906.07524>.
Documentation:
Downloads:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=bayestto link to this page.