Movatterモバイル変換


[0]ホーム

URL:


mcmcensemble: Ensemble Sampler for Affine-Invariant MCMC

Provides ensemble samplers for affine-invariant Monte Carlo Markov Chain, which allow a faster convergence for badly scaled estimation problems. Two samplers are proposed: the 'differential.evolution' sampler from ter Braak and Vrugt (2008) <doi:10.1007/s11222-008-9104-9> and the 'stretch' sampler from Goodman and Weare (2010) <doi:10.2140/camcos.2010.5.65>.

Version:3.2.0
Depends:R (≥ 3.5)
Imports:future.apply,progressr
Suggests:bayesplot,coda,mockery,testthat (≥ 3.0.0),knitr,rmarkdown,mvtnorm
Published:2025-07-24
DOI:10.32614/CRAN.package.mcmcensemble
Author:Hugo GrusonORCID iD [cre, aut, cph], Sanda Dejanic [aut, cph], Andreas ScheideggerORCID iD [aut, cph]
Maintainer:Hugo Gruson <hugo.gruson+R at normalesup.org>
BugReports:https://github.com/Bisaloo/mcmcensemble/issues
License:GPL-2
URL:https://hugogruson.fr/mcmcensemble/,https://github.com/Bisaloo/mcmcensemble
NeedsCompilation:no
Materials:README,NEWS
In views:Bayesian
CRAN checks:mcmcensemble results

Documentation:

Reference manual:mcmcensemble.html ,mcmcensemble.pdf
Vignettes:Interaction of mcmcensemble with other packages for MCMC diagnostic and plotting (source,R code)
Frequently Asked Questions (source,R code)

Downloads:

Package source: mcmcensemble_3.2.0.tar.gz
Windows binaries: r-devel:mcmcensemble_3.2.0.zip, r-release:mcmcensemble_3.2.0.zip, r-oldrel:mcmcensemble_3.2.0.zip
macOS binaries: r-release (arm64):mcmcensemble_3.2.0.tgz, r-oldrel (arm64):mcmcensemble_3.2.0.tgz, r-release (x86_64):mcmcensemble_3.2.0.tgz, r-oldrel (x86_64):mcmcensemble_3.2.0.tgz
Old sources: mcmcensemble archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=mcmcensembleto link to this page.


[8]ページ先頭

©2009-2025 Movatter.jp