I have tried to implement the R package ebbr (Empirical Bayes on the Binomial in R, by David Robinson) in Python. Please visit

• http://varianceexplained.org/r/ebbr-package/ to get the idea about what the package does and
• https://github.com/dgrtwo/ebbr for the R implementation

This was to learn more about how packaging works in Python

pip install ebbp

Fit Beta priors from data, compute shrinkage estimates, credible intervals, add those to the dataset

• Mixture of Beta priors
• Extend to Multinomial-dirichlet models?
• Priors other than Beta, fit using MCMC

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

MIT