mle.cv.summaries {wle} | R Documentation |
All these functions are methods
for class mle.cv
or summary.mle.cv
.
summary.mle.cv(object, num.max=20, ...) print.mle.cv(x, digits = max(3, getOption("digits") - 3), ...) print.summary.mle.cv(x, digits = max(3, getOption("digits") - 3), ...)
object |
an object of class mle.cv . |
x |
an object of class mle.cv or summary.mle.cv . |
num.max |
the max number of models should be reported. |
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 |
Claudio Agostinelli
mle.cv
a function for evaluate the Cross-Validation selection criterion for linear models.