Package: bayest
Type: Package
Title: Effect Size Targeted Bayesian Two-Sample t-Tests via Markov
        Chain Monte Carlo in Gaussian Mixture Models
Version: 1.5
Date: 2024-04-05
Author: Riko Kelter
Maintainer: Riko Kelter <riko.kelter@uni-siegen.de>
Description: 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>.
Imports: MCMCpack
Suggests: coda, MASS
License: GPL-3
NeedsCompilation: no
Packaged: 2024-04-05 06:52:48 UTC; riko
Repository: CRAN
Date/Publication: 2024-04-05 07:12:59 UTC
Built: R 4.4.0; ; 2024-04-27 17:40:26 UTC; unix
