predict.SDForest: Predictions for the SDForest

In SDModels: Spectrally Deconfounded Models

Predictions for the SDForest

Description

Predicts the response for new data using a fitted SDForest.

Usage

## S3 method for class 'SDForest'
predict(object, newdata, mc.cores = 1, ...)

Arguments

object	Fitted object of class SDForest.
newdata	New test data of class data.frame containing the covariates for which to predict the response.
mc.cores	Number of cores to use for parallel processing, if mc.cores > 1 the trees predict in parallel.
...	Further arguments passed to or from other methods.

Value

A vector of predictions for the new data.

Author(s)

Markus Ulmer

See Also

SDForest

Examples

set.seed(1)
n <- 50
X <- matrix(rnorm(n * 5), nrow = n)
y <- sign(X[, 1]) * 3 + rnorm(n)
model <- SDForest(x = X, y = y, Q_type = 'no_deconfounding', nTree = 5, cp = 0.5)
predict(model, newdata = data.frame(X))

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