Summarise and plot tabular MCMC output

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Description

This function summarises and plots tabular MCMC output such as that generated by the function normgibbs

Usage

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  mcmcAnalysis(mat, rows = 4, lag.max = 100, bins = 30,
    show = TRUE, plot = TRUE)

Arguments

mat

Matrix of MCMC output, where the columns represent variables and the rows represent iterations

rows

Number of variables to plot per page on the graphics device

lag.max

Maximum lag for the ACF plots

bins

Approximate number of bins to use for the histograms

show

If TRUE, will display numerical summaries on the R console

plot

If TRUE, will plot graphical summaries on the default graphics device

Author(s)

A version of mcmcSummary in Darren Wilkinson's package smfsb

Examples

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posterior=gibbsNormal(N=1000,initial=c(10,0.25),priorparam=c(10,1/100,3,12),n=100,xbar=15,s=4.5)
mcmcAnalysis(posterior,rows=2,bins=10)

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