wle.aic.summaries {wle}R Documentation

Summaries and methods for wle.aic

Description

All these functions are methods for class wle.aic or summary.wle.aic.

Usage

summary.wle.aic(object, num.max=20, ...)

print.wle.aic(x, digits = max(3, getOption("digits") - 3), ...)

print.summary.wle.aic(x, digits = max(3, getOption("digits") - 3), ...)

Arguments

object an object of class wle.aic.
x an object of class wle.aic or summary.wle.aic.
num.max the max number of models should be reported.

Value

summary.wle.aic returns a list:

waic the first num.max best models with their Weighted Akaike Information Criterion.
num.max the number of models reported.
call

Author(s)

Claudio Agostinelli

See Also

wle.aic a function for evaluate the Weighted Akaike Information Criterion in the linear models.