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:

Conda:

4.27 score 1 stars 37 scripts 219 downloads 6 exports 7 dependencies

Last updated 1 years agofrom:4a3a7367c9. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 15 2025
R-4.5-winOKMar 15 2025
R-4.5-macOKMar 15 2025
R-4.5-linuxOKMar 15 2025
R-4.4-winOKMar 15 2025
R-4.4-macOKMar 15 2025
R-4.4-linuxOKMar 15 2025
R-4.3-winOKMar 15 2025
R-4.3-macOKMar 15 2025

Exports:plotAutoplotCumuplotDensplotQuantplotSplomplotTrace

Dependencies:bitopscaToolscodagplotsgtoolsKernSmoothlattice

Gallery

Rendered fromgallery.Rnwusingutils::Sweaveon Mar 15 2025.

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