methods for class wle.aic.ar or summary.wle.aic.ar."summary"(object, num.max=20, verbose=FALSE, ...)
"print"(x, digits = max(3, getOption("digits") - 3),
num.max=max(1, nrow(x$waic)), ...)
"print"(x, digits = max(3, getOption("digits") - 3), ...)wle.aic.ar.wle.aic or summary.wle.aic.ar.TRUE warnings are printed.summary.wle.aic.ar) or further arguments passed to or from other methods
(in print.wle.aic.ar and print.summary.wle.aic.ar).summary.wle.aic.ar returns a list:num.max best models with their Weighted Akaike Information Criterion.wle.aic.ar a function for evaluate the Weighted
Akaike Information Criterion for autoregressive models.