Example
Package: mcgibbsit 1.2.2
Gregory R. Warnes
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.
Authors:
mcgibbsit_1.2.2.tar.gz
mcgibbsit_1.2.2.zip(r-4.7)mcgibbsit_1.2.2.zip(r-4.6)mcgibbsit_1.2.2.zip(r-4.5)
mcgibbsit_1.2.2.tgz(r-4.6-any)mcgibbsit_1.2.2.tgz(r-4.5-any)
mcgibbsit_1.2.2.tar.gz(r-4.7-any)mcgibbsit_1.2.2.tar.gz(r-4.6-any)
mcgibbsit_1.2.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
mcgibbsit/json (API)
| # Install 'mcgibbsit' in R: |
| install.packages('mcgibbsit', repos = c('https://r-gregmisc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/r-gregmisc/mcgibbsit/issues
Last updated from:b19bc85c04. Checks:9 OK. Indexed: yes.
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Warnes and Raftery's MCGibbsit MCMC diagnostic | mcgibbsit print.mcgibbsit |
| Read in data from a set of MCMC runs | read.mcmc |
