pyjags 1.3.1

Python interface to JAGS library for Bayesian data analysis.

PyJAGS provides a Python interface to JAGS, a program for analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation.

PyJAGS adds the following features on top of JAGS:

• Multicore support for parallel simulation of multiple Markov chains

• Saving sample MCMC chains to and restoring from HDF5 files

• Functionality to merge samples along iterations or across chains so that sampling can be resumed in consecutive chunks until convergence criteria are satisfied

• Connectivity to the Bayesian analysis and visualization package Arviz

License: GPLv2

Installation

A working JAGS installation is required.

pip install pyjags

Useful links

• Package on the Python Package Index

• Project page on github

• JAGS manual and examples