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mcgibbsit
View on CRAN: Click
here
Download and install mcgibbsit package within the R console
Install from CRAN:
install.packages("mcgibbsit")
Install from Github:
library("remotes")
install_github("cran/mcgibbsit")
Install by package version:
library("remotes")
install_version("mcgibbsit", "1.2.2")
Attach the package and use:
library("mcgibbsit")
Maintained by
Gregory R. Warnes
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2004-08-04
Latest Update: 2023-09-25
Description:
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.
How to cite:
Gregory R. Warnes (2004). mcgibbsit: Warnes and Raftery's 'MCGibbsit' MCMC Run Length and Convergence Diagnostic. R package version 1.2.2, https://cran.r-project.org/web/packages/mcgibbsit
Previous versions and publish date:
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Other R packages that mcgibbsit depends,
imports, suggests or enhances
Functions, R codes and Examples using
the mcgibbsit R package
Some associated functions: mcgibbsit . read.mcmc .
Some associated R codes: mcgibbsit.R . read.mcmc.R . Full mcgibbsit package functions and examples
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