Skip to main content
Help the Python Software Foundation raise $60,000 USD by December 31st!  Building the PSF Q4 Fundraiser

An MCMC package for Bayesian data analysis

Project description

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 hierarchical Bayesian models via Metropolis-Within-Gibbs scheme.

AUTHOR

Sanjib Sharma

Documentation

For latest documentation see here.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for bmcmc, version 0.1.0
Filename, size File type Python version Upload date Hashes
Filename, size bmcmc-0.1.0-py2-none-any.whl (9.2 kB) File type Wheel Python version py2 Upload date Hashes View
Filename, size bmcmc-0.1.0.tar.gz (9.3 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page