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: 2026-10-14 07:58:07 UTC; root
Repository: https://riko-k.r-universe.dev
Date/Publication: 2024-04-06 02:30:36 UTC
RemoteUrl: https://github.com/cran/bayest
RemoteRef: HEAD
RemoteSha: 45fd89f2cc1b14cc5e4365b1a3690368530e9341