Plots the autocorrelogram for the posterior samples of the model parameters and spatial random effects.
autocor.plot(object, param, component.beta = NULL, component.S = NULL)an object of class 'Bayes.PrevMap'.
a character indicating for which component of the model the autocorrelation plot is required: param="beta" for the regression coefficients; param="sigma2" for the variance of the spatial random effect; param="phi" for the scale parameter of the Matern correlation function; param="tau2" for the variance of the nugget effect; param="S" for the spatial random effect.
if param="beta", component.beta is a numeric value indicating the component of the regression coefficients; default is NULL.
if param="S", component.S can be a numeric value indicating the component of the spatial random effect, or set equal to "all" if the autocorrelgram should be plotted for all the components. Default is NULL.