The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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: 3.1.0
Depends: R (≥ 3.5)
Imports: future.apply, progressr
Suggests: bayesplot, coda, mockery, testthat (≥ 3.0.0), knitr, rmarkdown
Published: 2024-03-20
Author: Hugo Gruson ORCID iD [cre, aut, cph], Sanda Dejanic [aut, cph], Andreas Scheidegger ORCID 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.pdf
Vignettes: Interaction of mcmcensemble with other packages for MCMC diagnostic and plotting
Frequently Asked Questions

Downloads:

Package source: mcmcensemble_3.1.0.tar.gz
Windows binaries: r-devel: mcmcensemble_3.1.0.zip, r-release: mcmcensemble_3.1.0.zip, r-oldrel: mcmcensemble_3.1.0.zip
macOS binaries: r-release (arm64): mcmcensemble_3.1.0.tgz, r-oldrel (arm64): mcmcensemble_3.1.0.tgz, r-release (x86_64): mcmcensemble_3.1.0.tgz, r-oldrel (x86_64): mcmcensemble_3.1.0.tgz
Old sources: mcmcensemble archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mcmcensemble to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.