ChainConsumer
Abstract
ChainConsumer is a python package written to consume the output chains of MonteCarlo processes and fitting algorithms, such as the results of MCMC. ChainConsumer's main function is to produce plots of the likelihood surface inferred from the supplied chain. In addition to showing the twodimensional marginalised likelihood surfaces, marginalised parameter distributions are given, and maximumlikelihood statistics are used to present parameter constraints. In addition to this, parameter constraints can be output in the form of a LaTeX table. Finally, ChainConsumer also provides the functionality to plot the chains as a series of walks in parameter values, which provides an easy visual check on chain mixing and chain convergence.
 Publication:

The Journal of Open Source Software
 Pub Date:
 August 2016
 DOI:
 10.21105/joss.00045
 Bibcode:
 2016JOSS....1...45H