| wle.cv.summaries {wle} | R Documentation |
All these functions are methods for class wle.cv or summary.wle.cv.
summary.wle.cv(object, num.max=20, ...)
print.wle.cv(x, digits = max(3, getOption("digits") - 3), ...)
print.summary.wle.cv(x, digits = max(3, getOption("digits") - 3), ...)
object |
an object of class wle.cv. |
x |
an object of class wle.cv or summary.wle.cv. |
num.max |
the max number of models should be reported. |
summary.wle.cv returns a list:
wcv |
the first num.max best models with their estimated prediction error using WCV. |
num.max |
the number of models reported. |
call |
Claudio Agostinelli
wle.cv a function for evaluate the Weighted Cross Validation criterion in the linear models.