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
mcmcOutput_0.1.3.zip(r-4.5)mcmcOutput_0.1.3.zip(r-4.4)mcmcOutput_0.1.3.zip(r-4.3)
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'))

Peer review:

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

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

On CRAN:

4.65 score 4 stars 2 packages 37 scripts 370 downloads 1 mentions 15 exports 4 dependencies

Last updated 2 years agofrom:dd8426a39c. Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 20 2024
R-4.5-winNOTENov 20 2024
R-4.5-linuxNOTENov 20 2024
R-4.4-winOKNov 20 2024
R-4.4-macOKNov 20 2024
R-4.3-winOKNov 20 2024
R-4.3-macOKNov 20 2024

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