predict.SDTree: Predictions for the SDTree

In SDModels: Spectrally Deconfounded Models

Predictions for the SDTree

Description

Predicts the response for new data using a fitted SDTree.

Usage

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

Arguments

object	Fitted object of class SDTree.
newdata	New test data of class data.frame containing the covariates for which to predict the response.
...	Further arguments passed to or from other methods.

Value

A vector of predictions for the new data.

Author(s)

Markus Ulmer

See Also

SDTree

Examples

set.seed(1)
n <- 10
X <- matrix(rnorm(n * 5), nrow = n)
y <- sign(X[, 1]) * 3 + rnorm(n)
model <- SDTree(x = X, y = y, Q_type = 'no_deconfounding', cp = 0.5)
predict(model, newdata = data.frame(X))

SDModels documentation built on April 11, 2025, 5:50 p.m.