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

In wle: Weighted Likelihood Estimation

Description

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

Usage

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

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

## S3 method for class 'summary.mle.aic'
print(x, digits = max(3, getOption("digits") - 3), ...)

Arguments

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

Value

summary.mle.aic returns a list:

aic	the first num.max best models with their AIC.
num.max	the number of models reported.
call

Author(s)

Claudio Agostinelli

See Also

mle.aic a function for evaluate the Akaike Information Criterion.

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