mle.cv.summaries {wle} | R Documentation |
All these functions are methods
for class mle.cv
or summary.mle.cv
.
## S3 method for class 'mle.cv': summary(object, num.max=20, verbose=FALSE, ...) ## S3 method for class 'mle.cv': print(x, digits = max(3, getOption("digits") - 3), num.max=max(1, nrow(x$cv)), ...) ## S3 method for class 'summary.mle.cv': print(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 . |
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.mle.cv ) or further arguments passed to or from other methods
(in print.mle.cv and print.summary.mle.cv ). |
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.