Effect Size Targeted Bayesian Two-Sample t-Tests via Markov Chain Monte Carlo in Gaussian Mixture Models R package bayest version 1.5 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) <arXiv:1906.07524>. Software Imports: MCMCpack Suggests: coda, MASS Riko Kelter <riko.kelter@uni-siegen.de> Comprehensive R Archive Network (CRAN) Riko Kelter GPL-3 2024-04-05 application/tgz https://CRAN.R-project.org/package=bayest doi:10.32614/CRAN.package.bayest