predict.starnet: Makes Predictions

In rauschenberger/starnet: Stacked Elastic Net

Makes Predictions

Description

Predicts outcome from features with stacked model.

Usage

## S3 method for class 'starnet'
predict(object, newx, type = "response", nzero = NULL, ...)

Arguments

object	starnet object
newx	covariates: numeric matrix with n rows (samples) and p columns (variables)
type	character "link" or "response"
nzero	maximum number of non-zero coefficients: positive integer, or NULL
...	further arguments (not applicable)

Value

Matrix of predicted values, with samples in the rows, and models in the columns. Included models are alpha (fixed elastic net), ridge (i.e. alpha0), lasso (i.e. alpha1), tune (tuned elastic net), stack (stacked elastic net), and none (intercept-only model).

Examples

set.seed(1)
n <- 50; p <- 100
y <- rnorm(n=n)
X <- matrix(rnorm(n*p),nrow=n,ncol=p)
object <- starnet(y=y,X=X)
y_hat <- predict(object,newx=X[c(1),,drop=FALSE])

rauschenberger/starnet documentation built on July 4, 2025, 1:28 p.m.