bayest-package {bayest} | R Documentation |
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>.
Package for conducting Bayesian two-sample t-tests based on a two-component Gaussian mixture model via Gibbs sampling.
Package: | bayest |
Type: | Package |
Title: | Bayesian t-Test |
Version: | 1.0 |
Date: | 2019-07-26 |
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>. |
Suggests: | MCMCpack, coda, MASS |
License: | GPL-2 |
Index of help topics:
bayes.t.test bayesttest bayest-package Bayesian t-Test
Riko Kelter
Maintainer: Riko Kelter <riko.kelter@uni-siegen.de>
For a detailed explanation of the underlying Gibbs sampler see: https://arxiv.org/abs/1906.07524v1