predict.RAMP: Model prediction based on a fitted RAMP object.

In RAMP: Regularized Generalized Linear Models with Interaction Effects

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

RAMP documentation built on Jan. 16, 2020, 5:02 p.m.