| wle.aic.summaries {wle} | R Documentation |
All these functions are methods for class wle.aic or summary.wle.aic.
summary.wle.aic(object, num.max=20, verbose=FALSE, ...)
print.wle.aic(x, digits = max(3, getOption("digits") - 3), ...)
print.summary.wle.aic(x, digits = max(3, getOption("digits") - 3), ...)
object |
an object of class wle.aic. |
x |
an object of class wle.aic or summary.wle.aic. |
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.aic) or further arguments passed to or from other methods
(in print.wle.aic and print.summary.wle.aic). |
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 |
Claudio Agostinelli
wle.aic a function for evaluate the Weighted Akaike Information Criterion in the linear models.