rgw-package {rgw}

Goodman-Weare Affine-Invariant Sampling

Description

This package implements the affine-invariant method of Goodman & Weare (2010) <DOI:10.2140/camcos.2010.5.65>, a method of producing Monte-Carlo samples from a target distribution. The implementation is based on the description of the ‘emcee’ python package (implementing the same method) written by Forman-Mackey et al. (2012) <DOI:10.1086/670067>. See ‘References’ in the documentation of the GoodmanWeare function for full citation details.

Details

Package:	rgw
Type:	Package
Version:	0.3.0
Date:	2017-08-11
License:	MIT
LazyLoad:	yes

Author(s)

Adam Mantz <[e-mail]>