This is a pre-production deployment of Warehouse. Changes made here affect the production instance of PyPI (pypi.python.org).
Help us improve Python packaging - Donate today!

Rock n Rolling MCMC Sampler

Project Description

Rock and Rolling awesome Python package for affine-invariant MCMC sampling

gnm is a well tested Python implementation of the affine-invariant sampler for Markov chain Monte Carlo (MCMC) that uses the Gauss-Newton-Metropolis (GNM) Algorithm. The GNM algorithm is specialized in sampling highly non-linear posterior probability distribution functions of the form exp(-||f(x)||^2/2).

Pages

home, github

Attribution

Goodman

License

gnm is a free software made available under the MIT LICENSE.

Release History

Release History

This version
History Node

1.0.4

History Node

1.0.4a0

History Node

1.0.3

History Node

1.0.2

History Node

1.0.0

Download Files

Download Files

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

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
gnm-1.0.4.tar.gz (10.9 kB) Copy SHA256 Checksum SHA256 Source May 31, 2017

Supported By

WebFaction WebFaction Technical Writing Elastic Elastic Search Pingdom Pingdom Monitoring Dyn Dyn DNS Sentry Sentry Error Logging CloudAMQP CloudAMQP RabbitMQ Heroku Heroku PaaS Kabu Creative Kabu Creative UX & Design Fastly Fastly CDN DigiCert DigiCert EV Certificate Rackspace Rackspace Cloud Servers DreamHost DreamHost Log Hosting