Update: This package has now been incorporated into PyMC. The PyMC developers maintain it. Please use it https://docs.pymc.io/en/v3/pymc-examples/examples/case_studies/BEST.html. This repository is an archive of the original Python version which was used as the basis for incorporation into PyMC.

This Python package implements the software described in

Kruschke, John. (2012) Bayesian estimation supersedes the t test. Journal of Experimental Psychology: General.

It implements Bayesian estimation for two groups, providing complete distributions for effect size, group means and their difference, standard deviations and their difference, and the normality of the data. See John Kruschke's website on BEST for more information.

• tested with Python 2.7 (not Python 3)
• PyMC for MCMC sampling
• matplotlib for plotting

Here is the plot created by examples/smart_drug.py: