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: | 2.2.0 |
Depends: | R (≥ 3.5) |
Imports: | future.apply, progressr |
Suggests: | coda, mockery, testthat (≥ 3.0.0), knitr, rmarkdown |
Published: | 2021-02-20 |
Author: | Hugo Gruson |
Maintainer: | Hugo Gruson <hugo.gruson+R at normalesup.org> |
BugReports: | https://github.com/Bisaloo/mcmcensemble/issues |
License: | GPL-2 |
URL: | https://github.com/Bisaloo/mcmcensemble, https://bisaloo.github.io/mcmcensemble/ |
NeedsCompilation: | no |
Materials: | README NEWS |
In views: | Bayesian |
CRAN checks: | mcmcensemble results |
Reference manual: | mcmcensemble.pdf |
Vignettes: |
Frequently Asked Questions |
Package source: | mcmcensemble_2.2.0.tar.gz |
Windows binaries: | r-devel: mcmcensemble_2.2.0.zip, r-release: mcmcensemble_2.2.0.zip, r-oldrel: mcmcensemble_2.2.0.zip |
macOS binaries: | r-release: mcmcensemble_2.2.0.tgz, r-oldrel: mcmcensemble_2.2.0.tgz |
Old sources: | mcmcensemble archive |
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