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Functions and classes to store, manipulate and summarise Monte Carlo Markov Chain (MCMC) samples. For more information see Brooks et al. (2011) <isbn:978-1-4200-7941-8>.
Version: | 0.6.1 |
Depends: | R (≥ 3.5) |
Imports: | abind, chk (≥ 0.7.0), coda, extras, generics, lifecycle, nlist, purrr, stats, term, universals, utils |
Suggests: | covr, graphics, readr, rlang, testthat, tibble |
Published: | 2021-09-06 |
DOI: | 10.32614/CRAN.package.mcmcr |
Author: | Joe Thorley [aut, cre], Poisson Consulting [cph, fnd] |
Maintainer: | Joe Thorley <joe at poissonconsulting.ca> |
BugReports: | https://github.com/poissonconsulting/mcmcr/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/poissonconsulting/mcmcr |
NeedsCompilation: | no |
Language: | en-US |
Materials: | README NEWS |
CRAN checks: | mcmcr results |
Reference manual: | mcmcr.pdf |
Package source: | mcmcr_0.6.1.tar.gz |
Windows binaries: | r-devel: mcmcr_0.6.1.zip, r-release: mcmcr_0.6.1.zip, r-oldrel: mcmcr_0.6.1.zip |
macOS binaries: | r-release (arm64): mcmcr_0.6.1.tgz, r-oldrel (arm64): mcmcr_0.6.1.tgz, r-release (x86_64): mcmcr_0.6.1.tgz, r-oldrel (x86_64): mcmcr_0.6.1.tgz |
Old sources: | mcmcr archive |
Reverse imports: | mcmcderive, missingHE |
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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.