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>.
| Version: |
1.4 |
| Imports: |
MCMCpack |
| Suggests: |
coda, MASS |
| Published: |
2020-05-31 |
| Author: |
Riko Kelter |
| Maintainer: |
Riko Kelter <riko.kelter at uni-siegen.de> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| CRAN checks: |
bayest results |
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