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:Gregory R. Warnes <[email protected]>, Robert Burrows

mcgibbsit_1.2.2.tar.gz
mcgibbsit_1.2.2.zip(r-4.5)mcgibbsit_1.2.2.zip(r-4.4)mcgibbsit_1.2.2.zip(r-4.3)
mcgibbsit_1.2.2.tgz(r-4.4-any)mcgibbsit_1.2.2.tgz(r-4.3-any)
mcgibbsit_1.2.2.tar.gz(r-4.5-noble)mcgibbsit_1.2.2.tar.gz(r-4.4-noble)
mcgibbsit_1.2.2.tgz(r-4.4-emscripten)mcgibbsit_1.2.2.tgz(r-4.3-emscripten)
mcgibbsit.pdf |mcgibbsit.html
mcgibbsit/json (API)
NEWS

# Install 'mcgibbsit' in R:
install.packages('mcgibbsit', repos = c('https://r-gregmisc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/r-gregmisc/mcgibbsit/issues

On CRAN:

3.70 score 7 scripts 243 downloads 2 exports 2 dependencies

Last updated 1 years agofrom:b19bc85c04. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 22 2024
R-4.5-winOKNov 22 2024
R-4.5-linuxOKNov 22 2024
R-4.4-winOKNov 22 2024
R-4.4-macOKNov 22 2024
R-4.3-winOKNov 22 2024
R-4.3-macOKNov 22 2024

Exports:mcgibbsitread.mcmc

Dependencies:codalattice

mcgibbsit Example

Rendered frommcgibbsit_example.Rmdusingknitr::rmarkdownon Nov 22 2024.

Last update: 2023-09-24
Started: 2023-09-24