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

In wle: Weighted Likelihood Estimation

Description

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

Usage

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

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

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

Arguments

object	an object of class mle.cv.
x	an object of class mle.cv or summary.mle.cv.
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.mle.cv) or further arguments passed to or from other methods (in print.mle.cv and print.summary.mle.cv).

Value

summary.mle.cv returns a list:

cv	the first num.max best models with their estimated prediction error using CV.
num.max	the number of models reported.
call

Author(s)

Claudio Agostinelli

See Also

mle.cv a function for evaluate the Cross-Validation selection criterion for linear models.

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