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mcmcOutput (version 0.1.3)

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

Description

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.

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Install

install.packages('mcmcOutput')

Monthly Downloads

358

Version

0.1.3

License

GPL (>= 3)

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Maintainer

Ngumbang Juat

Last Published

November 17th, 2022

Functions in mcmcOutput (0.1.3)

bigCrosscorr

Cross-correlations for MCMC output
Get diagnostics

Get diagnostic statistics
densityFolded

Folded kernel density estimation
mcmcListExample

An object of class mcmc.list produced by rjags::coda.samples
mcmcOutput-class

Conversion to class mcmcOutput
discrepancyPlot

Graphic comparison of observed vs simulated discrepancies
diagPlot

Diagnostic graphics for class mcmcOutput
window.mcmcOutput

Subsetting chains for mcmcOutput objects
postPriorOverlap

Overlap between posterior and prior probability distributions.
summary.mcmcOutput

Print and summary methods for objects of class mcmcOutput
crosscorrPlot

Plot image of correlation matrix
plot.mcmcOutput

Graphic display of marginal posterior probability distributions