wle (version 0.5)

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

Description

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

Usage

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

Arguments

object

an object of class wle.aic.

x

an object of class wle.aic or summary.wle.aic.

num.max

the max number of models should be reported.

Value

• summary.wle.aic returns a list:
• waic
  the first num.max best models with their Weighted Akaike Information Criterion.
• num.max
  the number of models reported.
• call

See Also

wle.aic a function for evaluate the Weighted Akaike Information Criterion in the linear models.