• linux-64 v0.1.2
• osx-64 v0.1.2
• win-64 v0.1.2
• win-32 v0.1.2

conda install

To install this package run one of the following:
conda install conda-forge::pyhmc
conda install conda-forge/label/cf201901::pyhmc
conda install conda-forge/label/cf202003::pyhmc
conda install conda-forge/label/gcc7::pyhmc

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This package is a straight-forward port of the functions hmc2.m and hmc2_opt.m from the MCMCstuff matlab toolbox written by Aki Vehtari. The code is originally based on the functions hmc.m from the netlab toolbox written by Ian T Nabney. The portion of algorithm involving "windows" is derived from the C code for this function included in the Software for Flexible Bayesian Modeling written by Radford Neal.

The original Python port was made by Kilian Koepsell, and subsequently modernized by Robert T. McGibbon.