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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

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MCMC package for Bayesian data analysis

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