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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 |
Please use the canonical form https://CRAN.R-project.org/package=mcgibbsit 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.