acfMCMC {AnaCoDa} | R Documentation |
The function calculates and by defaults plots the acf and estimates the autocorrelation in the trace.
acfMCMC(mcmc, type = "LogPosterior", samples = NULL, lag.max = 40, plot = TRUE)
mcmc |
object of class MCMC |
type |
"LogPosterior" or "LogLikelihood", defaults to "LogPosterior" |
samples |
number of samples at the end of the trace used to calculate the acf |
lag.max |
Maximum amount of lag to calculate acf. Default is 10*log10(N), where N i the number of observations. |
plot |
logical. If TRUE (default) a plot of the acf is created |