rgw: Goodman-Weare Affine-Invariant Sampling

Implementation of 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.

Version: 0.3.0
Imports: parallel
Published: 2020-08-11
Author: Adam Mantz
Maintainer: Adam Mantz <amantz at slac.stanford.edu>
License: MIT + file LICENSE
URL: https://github.com/abmantz/rgw
NeedsCompilation: no
CRAN checks: rgw results


Reference manual: rgw.pdf
Package source: rgw_0.3.0.tar.gz
Windows binaries: r-devel: rgw_0.3.0.zip, r-release: rgw_0.3.0.zip, r-oldrel: rgw_0.3.0.zip
macOS binaries: r-release (arm64): rgw_0.3.0.tgz, r-release (x86_64): rgw_0.3.0.tgz, r-oldrel: rgw_0.3.0.tgz
Old sources: rgw archive


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