SCM

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
Mailing Lists (0 public mailing lists)
SCM Repository (Subversion: 0 updates, 2 adds)
Project Members
Thanks to:
Vienna University of Economics and Business Powered By FusionForge