R-bayest (R/R-bayest) Updated: 9 months, 2 weeks ago Add to my watchlist
Effect size targeted Bayesian two-sample t-tests via Markov chain Monte Carlo in Gaussian mixture modelsProvides 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 as well.
Version: 1.5 License: GPL-3
GitHub
47 build(s) found
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