Bayesian t-test: Project Home – R-Forge
Project 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, too. Project Information
This project has not yet categorized itself in the Trove Software Map Registered: 2019-08-06 12:27 Activity Ranking: 0 View project Statistics View list of RSS feeds available for this project. ![]() Public Tools
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