predict.cv.sprinter: Calculate prediction from a 'cv.sprinter' object.

In sprintr: Sparse Reluctant Interaction Modeling

Description

Calculate prediction from a cv.sprinter object.

Usage

## S3 method for class 'cv.sprinter'
predict(object, newdata, ...)

Arguments

object	a fitted cv.sprinter object.
newdata	a design matrix of all the p main effects of some new observations of which predictions are to be made.
...	additional argument (not used here, only for S3 generic/method consistency)

Value

The prediction of newdata by the cv.sprinter fit object.

Examples

n <- 100
p <- 200
x <- matrix(rnorm(n * p), n, p)
y <- x[, 1] + 2 * x[, 2] - 3 * x[, 1] * x[, 2] + rnorm(n)
mod <- cv.sprinter(x = x, y = y)
fitted <- predict(mod, newdata = x)

sprintr documentation built on Aug. 24, 2019, 5:03 p.m.