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mcgibbsit: Warnes and Raftery's 'MCGibbsit' MCMC Run Length and ConvergenceDiagnostic

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

Documentation:

Reference manual:mcgibbsit.html ,mcgibbsit.pdf
Vignettes:mcgibbsit Example (source,R code)

Downloads:

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

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=mcgibbsitto link to this page.


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