mcmcAnalysis: Summarise and plot tabular MCMC output

In nclbayes: Functions, Demos and Examples of Bayesian Analysis and Basic MCMC

Description

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

Usage

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	a logical. If TRUE, will display numerical summaries on the R console.
plot	a logical. If TRUE, will plot graphical summaries on the default graphics device.

References

A version of mcmcSummary in Darren Wilkinson's package smfsb.

Examples

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)

nclbayes documentation built on May 2, 2019, 5:53 p.m.