wle.cv.summaries {wle}R Documentation

Summaries and methods for wle.cv

Description

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

Usage

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

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

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

Arguments

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

Value

summary.wle.cv returns a list:

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

Author(s)

Claudio Agostinelli

See Also

wle.cv a function for evaluate the Weighted Cross Validation criterion in the linear models.