R-bayest (R/R-bayest) Updated: 10 months, 3 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
Statistics for selected duration
2025-Jan-23 to 2025-Feb-22
No stats available for this selection.
Try changing the range of days. Alternatively visit statistics page to have an overall look at the submitted statistics.