Skip to main content

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.

Source Distribution

bmcmc-0.1.0.tar.gz (9.3 kB view hashes)

Uploaded Source

Built Distribution

bmcmc-0.1.0-py2-none-any.whl (9.2 kB view hashes)

Uploaded Python 2

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page