mcmcOutput0.1.3 package

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

bigCrosscorr

Cross-correlations for MCMC output

data_mcmcListExample

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

densityFolded

Folded kernel density estimation

diagPlot

Diagnostic graphics for class mcmcOutput

getXXX

Get diagnostic statistics

mcmcOutput

Conversion to class mcmcOutput

method_plot

Graphic display of marginal posterior probability distributions

method_summary

Print and summary methods for objects of class mcmcOutput

method_window

Subsetting chains for mcmcOutput objects

plot_crosscorrPlot

Plot image of correlation matrix

plot_discrepancyPlot

Graphic comparison of observed vs simulated discrepancies

postPriorOverlap

Overlap between posterior and prior probability distributions.

Download source packageRead PDF manual

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.

  • Maintainer: Ngumbang Juat
  • License: GPL (>= 3)
  • Last published: 2022-11-17

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