wle (version 0.9-91)

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

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

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.