wle (version 0.9-91)

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

Description

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

Usage

"summary"(object, num.max=20, verbose=FALSE, ...)
"print"(x, digits = max(3, getOption("digits") - 3),
num.max=max(1, nrow(x$wcv)), ...)
"print"(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.

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.cv) or further arguments passed to or from other methods (in print.wle.cv and print.summary.wle.cv).

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

See Also

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