wle (version 0.5)

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

Description

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

Usage

summary.mle.cv(object, num.max=20, ...)
print.mle.cv(x, digits = max(3, getOption("digits") - 3), ...)
print.summary.mle.cv(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.

num.max

the max number of models should be reported.

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

See Also

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