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Computes and plot autocorrelation functions for samples obtained with MCMC in BayesX
plotautocor(data, ask = TRUE, lag.max=100, ...)
Either the name of a file or a data frame containing the sample.
plotautocor will plot separate autocorrelation functions for each parameter. If ask=TRUE, the user will be prompted before showing the next plot.
plotautocor
ask=TRUE
Maximum number of lags to be considered.
Further parameters to be passed to the internal call of plot such as ylim, etc.
plot
ylim
Felix Heinzl, Thomas Kneib
res <- read.table(system.file("examples/nonparametric_f_x_pspline_sample.raw", package="BayesX"), header=TRUE) plotautocor(res) plotautocor(res, lag.max=50)
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