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

In wle: Weighted Likelihood Estimation

Description

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

Usage

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

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

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

Arguments

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

Value

summary.wle.cp returns a list:

wcp	the first num.max best models with their Weighted Mallows Cp.
num.max	the number of models reported.
call

Author(s)

Claudio Agostinelli

See Also

wle.cp a function for evaluate the Weighted Mallows Cp in the linear models.

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