predict.RAMP {RAMP} | R Documentation |
Model prediction based on a fitted RAMP object.
Description
Similar to the usual predict methods,
this function returns predictions from a fitted 'RAMP'
object.
Usage
## S3 method for class 'RAMP'
predict(object, newdata = NULL, type = c("link",
"response", "class"), allpath = FALSE, ...)
Arguments
object |
Fitted 'RAMP' model object.
|
newdata |
Matrix of new values for x at which predictions
are to be made, without the intercept term.
|
type |
Type of prediction required.
Type 'response' gives the fitted values for 'gaussian' ,
fitted probabilities for 'binomial' ,
fitted mean for 'poisson' ,
and the fitted relative risk for 'cox' .
Type 'link' returns the linear predictors for
'binomial' , 'poisson' and 'cox' models;
for 'gaussian' models it is equivalent to type
'response' . Type 'class' applies only to 'binomial' models,
and produces the class label corresponding to the maximum probability (0-1 labels).
|
allpath |
allpath = T will output all the predictions on the solution path. allpath = FALSE will only output the one the criterion selected in the 'RAMP' object.
|
... |
Not used. Other arguments to predict.
|
Value
The object returned depends on type.
See Also
RAMP
,print.RAMP
[Package
RAMP version 2.0.2
Index]