{"name":"R-bayest","portdir":"R/R-bayest","version":"1.5","license":"GPL-3","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://cran.r-project.org/package=bayest","description":"Effect size targeted Bayesian two-sample t-tests via Markov chain Monte Carlo in Gaussian mixture models","long_description":"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 as well.","active":true,"categories":["science","math","R"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["R","clang-16"]},{"type":"lib","ports":["R-MCMCpack","R-CRAN-recommended"]},{"type":"run","ports":["R"]},{"type":"test","ports":["R-coda"]}],"depends_on":[]}