Package: plotMCMC 2.0.1

plotMCMC: MCMC Diagnostic Plots

Markov chain Monte Carlo diagnostic plots. The purpose of the package is to combine existing tools from the 'coda' and 'lattice' packages, and make it easy to adjust graphical details.

Authors:Arni Magnusson [aut, cre], Ian Stewart [aut]

plotMCMC_2.0.1.tar.gz
plotMCMC_2.0.1.zip(r-4.5)plotMCMC_2.0.1.zip(r-4.4)plotMCMC_2.0.1.zip(r-4.3)
plotMCMC_2.0.1.tgz(r-4.5-any)plotMCMC_2.0.1.tgz(r-4.4-any)plotMCMC_2.0.1.tgz(r-4.3-any)
plotMCMC_2.0.1.tar.gz(r-4.5-noble)plotMCMC_2.0.1.tar.gz(r-4.4-noble)
plotMCMC_2.0.1.tgz(r-4.4-emscripten)plotMCMC_2.0.1.tgz(r-4.3-emscripten)
plotMCMC.pdf |plotMCMC.html
plotMCMC/json (API)
NEWS

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

Bug tracker:https://github.com/arni-magnusson/plotmcmc/issues

Datasets:
  • xbio - MCMC Results for Biomass
  • xpar - MCMC Results for Model Parameters
  • xpro - MCMC Results for Future Projections
  • xrec - MCMC Results for Recruitment

On CRAN:

4.27 score 1 stars 37 scripts 252 downloads 6 exports 7 dependencies

Last updated 1 years agofrom:4a3a7367c9. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 13 2025
R-4.5-winOKFeb 13 2025
R-4.5-macOKFeb 13 2025
R-4.5-linuxOKFeb 13 2025
R-4.4-winOKFeb 13 2025
R-4.4-macOKFeb 13 2025
R-4.3-winOKFeb 13 2025
R-4.3-macOKFeb 13 2025

Exports:plotAutoplotCumuplotDensplotQuantplotSplomplotTrace

Dependencies:bitopscaToolscodagplotsgtoolsKernSmoothlattice

Gallery

Rendered fromgallery.Rnwusingutils::Sweaveon Feb 13 2025.

Last update: 2020-11-23
Started: 2017-06-21