plotautocor {BayesX}

Computing and Plotting Autocorrelation Functions

Description

Computes and plot autocorrelation functions for samples obtained with MCMC in BayesX

Usage

plotautocor(data, ask = TRUE, lag.max=100, ...)

Arguments

data

Either the name of a file or a data frame containing the sample.

ask

plotautocor will plot separate autocorrelation functions for each parameter. If ask=TRUE, the user will be prompted before showing the next plot.

lag.max

Maximum number of lags to be considered.

...

Further parameters to be passed to the internal call of plot such as ylim, etc.

Author(s)

Felix Heinzl, Thomas Kneib

Examples

res <- read.table(system.file("examples/nonparametric_f_x_pspline_sample.raw", 
                              package="BayesX"), header=TRUE)
plotautocor(res)
plotautocor(res, lag.max=50)