Skip to main content
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!

Multichain MCMC framework and algorithms

Project Description

A simple framework based on PyMC for multichain MCMC algorithms.

Contains working implementations of:
  • DREAM/DREAM_ZS sampler : multichain_mcmc.dream.DreamSampler
  • Adaptive Metropolis Adjusted Langevin Algorithm (AMALA) sampler : multichain_mcmc.amala.AmalaSampler
See the sampler classes for details. AMALA sampler requires PyMC branch with gradient information support to function.
http://github.com/pymc-devs/pymc/tree/gradientBranch
Release History

Release History

This version
History Node

0.3

History Node

0.2.2

History Node

0.2.1

History Node

0.2

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
multichain_mcmc-0.3.tar.gz (3.9 MB) Copy SHA256 Checksum SHA256 Source Jun 21, 2010

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