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.


Sanjib Sharma


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 py2

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page