bayest: Bayesian t-Test

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 details

AuthorRiko Kelter
MaintainerRiko Kelter <[email protected]>
Package repositoryView on CRAN
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bayest documentation built on Jan. 11, 2020, 9:22 a.m.