plotautocor: Computing and Plotting Autocorrelation Functions
In BayesX: R Utilities Accompanying the Software Package BayesX

plotautocor

R Documentation

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)

BayesX documentation built on Oct. 20, 2023, 9:11 a.m.