Package: mcmcensemble 3.2.0.9000

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>.

Authors:Hugo Gruson [cre, aut, cph], Sanda Dejanic [aut, cph], Andreas Scheidegger [aut, cph]

mcmcensemble_3.2.0.9000.tar.gz
mcmcensemble_3.2.0.9000.zip(r-4.7)mcmcensemble_3.2.0.9000.zip(r-4.6)mcmcensemble_3.2.0.9000.zip(r-4.5)
mcmcensemble_3.2.0.9000.tgz(r-4.6-any)mcmcensemble_3.2.0.9000.tgz(r-4.5-any)
mcmcensemble_3.2.0.9000.tar.gz(r-4.7-any)mcmcensemble_3.2.0.9000.tar.gz(r-4.6-any)
mcmcensemble_3.2.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
mcmcensemble/json (API)
NEWS

# Install 'mcmcensemble' in R:

install.packages('mcmcensemble', repos = c('https://bisaloo.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/bisaloo/mcmcensemble/issues

Pkgdown/docs site:https://hugogruson.fr

On CRAN:

mcmc mcmc-sampler

5.02 score 2 stars 13 scripts 270 downloads 1 exports 8 dependencies

Last updated from:743054509b. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	154
source / vignettes	OK	343
linux-release-x86_64	OK	158
macos-release-arm64	OK	114
macos-oldrel-arm64	OK	142
windows-devel	OK	113
windows-release	OK	111
windows-oldrel	OK	129
wasm-release	OK	119