mcmcAnalysis: Summarise and plot tabular MCMC output

In mas3321: Bayes normal linear model 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	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

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)

mas3321 documentation built on May 2, 2019, 4:42 p.m.