wle.aic.summaries: Summaries and methods for wle.aic

In wle: Weighted Likelihood Estimation

Description

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

Usage

## S3 method for class 'wle.aic'
summary(object, num.max=20, verbose=FALSE, ...)

## S3 method for class 'wle.aic'
print(x, digits = max(3, getOption("digits") - 3),
num.max=max(1, nrow(x$waic)), ...)

## S3 method for class 'summary.wle.aic'
print(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.
digits	number of digits to be used for most numbers.
num.max	the max number of models should be reported.
verbose	if TRUE warnings are printed.
...	additional arguments affecting the summary produced (in summary.wle.aic) or further arguments passed to or from other methods (in print.wle.aic and print.summary.wle.aic).

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.

wle documentation built on May 29, 2017, 11:48 a.m.