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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 |
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Author | Riko Kelter |
Maintainer | Riko Kelter <riko.kelter@uni-siegen.de> |
License | GPL-3 |
Version | 1.4 |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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