methods for class wle.aic or summary.wle.aic."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.wle.aic or summary.wle.aic.TRUE warnings are printed.summary.wle.aic) or further arguments passed to or from other methods
(in print.wle.aic and print.summary.wle.aic).summary.wle.aic returns a list:num.max best models with their Weighted Akaike Information Criterion.wle.aic a function for evaluate the Weighted Akaike Information Criterion in the linear models.