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.