The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

mcgibbsit: Warnes and Raftery's 'MCGibbsit' MCMC Run Length and Convergence Diagnostic

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
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.pdf
Vignettes: mcgibbsit Example

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 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.
Health stats visible at Monitor.