Makes Predictions — predict.starnet • starnet

Predicts outcome from features with stacked model.

# 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

# \donttest{
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])# }