bayest-package: Effect Size Targeted Bayesian Two-Sample t-Tests via Markov...

In bayest: Effect Size Targeted Bayesian Two-Sample t-Tests via Markov Chain Monte Carlo in Gaussian Mixture Models

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>.

Details

Package for conducting Bayesian two-sample t-tests based on a two-component Gaussian mixture model via Gibbs sampling. This package was not yet installed at build time.

Index: This package was not yet installed at build time.

Author(s)

Riko Kelter

Maintainer: Riko Kelter <[e-mail]>

References

For a detailed explanation of the underlying Gibbs sampler see: https://arxiv.org/abs/1906.07524v1

bayest documentation built on July 1, 2020, 7:08 p.m.