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bayest: Effect Size Targeted Bayesian Two-Sample t-Tests via Markov Chain Monte Carlo in Gaussian Mixture Models
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>.
Getting started
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Package details |
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| Author | Riko Kelter |
| Maintainer | Riko Kelter <riko.kelter@uni-siegen.de> |
| License | GPL-3 |
| Version | 1.5 |
| Package repository | View on CRAN |
| Installation |
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