wle (version 0.5)

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.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

See Also

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