rgw-package: Goodman-Weare Affine-Invariant Sampling

Description Details Author(s)


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.


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


Adam Mantz <amantz@slac.stanford.edu>

rgw documentation built on Aug. 11, 2020, 9:07 a.m.