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Implementation of Warnes & Raftery's MCGibbsit run-length and convergence diagnostic for a set of (not-necessarily independent) Markov Chain Monte Carlo (MCMC) samplers. It combines the quantile estimate error-bounding approach of the Raftery and Lewis MCMC run length diagnostic 'gibbsit' with the between verses within chain approach of the Gelman and Rubin MCMC convergence diagnostic.
Version: | 1.2.2 |
Depends: | coda |
Suggests: | knitr, rmarkdown |
Published: | 2023-09-25 |
DOI: | 10.32614/CRAN.package.mcgibbsit |
Author: | Gregory R. Warnes, Robert Burrows |
Maintainer: | Gregory R. Warnes <greg at warnes.net> |
BugReports: | https://github.com/r-gregmisc/mcgibbsit/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL] |
URL: | https://github.com/r-gregmisc/mcgibbsit |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | mcgibbsit results |
Reference manual: | mcgibbsit.pdf |
Vignettes: |
mcgibbsit Example |
Package source: | mcgibbsit_1.2.2.tar.gz |
Windows binaries: | r-devel: mcgibbsit_1.2.2.zip, r-release: mcgibbsit_1.2.2.zip, r-oldrel: mcgibbsit_1.2.2.zip |
macOS binaries: | r-release (arm64): mcgibbsit_1.2.2.tgz, r-oldrel (arm64): mcgibbsit_1.2.2.tgz, r-release (x86_64): mcgibbsit_1.2.2.tgz, r-oldrel (x86_64): mcgibbsit_1.2.2.tgz |
Old sources: | mcgibbsit archive |
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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.
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