Package: rgw 0.3.0

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.

Authors:Adam Mantz

rgw_0.3.0.tar.gz
rgw_0.3.0.zip(r-4.7)rgw_0.3.0.zip(r-4.6)rgw_0.3.0.zip(r-4.5)
rgw_0.3.0.tgz(r-4.6-any)rgw_0.3.0.tgz(r-4.5-any)
rgw_0.3.0.tar.gz(r-4.7-any)rgw_0.3.0.tar.gz(r-4.6-any)
rgw_0.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
rgw/json (API)

# Install 'rgw' in R:
install.packages('rgw', repos = c('https://abmantz.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/abmantz/rgw/issues

On CRAN:

Conda:

markov-chain-monte-carlostatistics

3.00 score 2 stars 2 scripts 161 downloads 2 exports 0 dependencies

Last updated from:7cb69aa12e. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK103
source / vignettesOK131
linux-release-x86_64OK96
macos-release-arm64OK83
macos-oldrel-arm64OK93
windows-develOK70
windows-releaseOK50
windows-oldrelOK53
wasm-releaseOK82

Exports:GoodmanWeareGoodmanWeare.rem

Dependencies: