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, ...) 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 . |
num.max |
the max number of models should be reported. |
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.