bmcmc
An MCMC package for Bayesian data analysis
bmcmc is a general purpose mcmc package which should be useful for Bayesian data analysis. It uses an adaptive scheme for automatic tuning of proposal distributions. It can also handle Bayesian hierarchical models by making use of the Metropolis-Within-Gibbs scheme.
Author
Sanjib Sharma
Documentation
For latest documentation see http://bmcmc.readthedocs.io/en/latest/.
Installation
pip install bmcmc