Package: mcmcOutput 0.1.3

Ngumbang Juat

mcmcOutput: Functions to Store, Manipulate and Display Markov Chain Monte Carlo (MCMC) Output

Implements a class ('mcmcOutput') for efficiently storing and handling Markov chain Monte Carlo (MCMC) output, intended as an aid for those writing customized MCMC samplers. A range of constructor methods are provided covering common output formats. Functions are provided to generate summary and diagnostic statistics and to display histograms or density plots of posterior distributions, for the entire output, or subsets of draws, nodes, or parameters.

Authors:Ngumbang Juat [cre], Mike Meredith [aut], John Kruschke [ctb]

mcmcOutput_0.1.3.tar.gz
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mcmcOutput_0.1.3.tgz(r-4.5-any)mcmcOutput_0.1.3.tgz(r-4.4-any)mcmcOutput_0.1.3.tgz(r-4.3-any)
mcmcOutput_0.1.3.tar.gz(r-4.5-noble)mcmcOutput_0.1.3.tar.gz(r-4.4-noble)
mcmcOutput_0.1.3.tgz(r-4.4-emscripten)mcmcOutput_0.1.3.tgz(r-4.3-emscripten)
mcmcOutput.pdf |mcmcOutput.html
mcmcOutput/json (API)
NEWS

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

Bug tracker:https://github.com/mikemeredith/mcmcoutput/issues

Datasets:
  • mcmcListExample - An object of class 'mcmc.list' produced by 'rjags::coda.samples'

On CRAN:

Conda:

4.74 score 4 stars 2 packages 46 scripts 396 downloads 1 mentions 15 exports 4 dependencies

Last updated 2 years agofrom:dd8426a39c. Checks:6 OK, 3 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 20 2025
R-4.5-winNOTEMar 20 2025
R-4.5-macNOTEMar 20 2025
R-4.5-linuxNOTEMar 20 2025
R-4.4-winOKMar 20 2025
R-4.4-macOKMar 20 2025
R-4.4-linuxOKMar 20 2025
R-4.3-winOKMar 20 2025
R-4.3-macOKMar 20 2025

Exports:acfPlotbigCrosscorrcrosscorrPlotdensityFoldeddensityPlotdiagPlotdiscrepancyPlotgetMCEgetNeffgetRhatmcmcOutputpostPlotpostPriorOverlapsumryListtracePlot

Dependencies:codaHDIntervallatticeMASS

Readme and manuals

Help Manual

Help pageTopics
Cross-correlations for MCMC outputbigCrosscorr
Plot image of correlation matrixcrosscorrPlot
Folded kernel density estimationdensityFolded
Diagnostic graphics for class 'mcmcOutput'acfPlot densityPlot diagPlot tracePlot
Graphic comparison of observed vs simulated discrepanciesdiscrepancyPlot
Get diagnostic statisticsgetMCE getNeff getRhat
An object of class 'mcmc.list' produced by 'rjags::coda.samples'mcmcListExample
Conversion to class 'mcmcOutput'mcmcOutput mcmcOutput-class mcmcOutput.bugs mcmcOutput.data.frame mcmcOutput.default mcmcOutput.jagsUI mcmcOutput.matrix mcmcOutput.mcmc mcmcOutput.mcmc.list mcmcOutput.rjags mcmcOutput.runjags
Graphic display of marginal posterior probability distributionsplot.mcmcOutput postPlot
Overlap between posterior and prior probability distributions.postPriorOverlap
Print and summary methods for objects of class 'mcmcOutput'print.mcmcOutput summary.mcmcOutput sumryList
Subsetting chains for 'mcmcOutput' objectswindow.mcmcOutput