predict.SDAM: Predictions for SDAM

In SDModels: Spectrally Deconfounded Models

Predictions for SDAM

Description

Predicts the response for new data using a fitted SDAM.

Usage

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

Arguments

object	Fitted object of class SDAM.
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)

Cyrill Scheidegger

See Also

SDAM

Examples

set.seed(1)
X <- matrix(rnorm(10 * 5), ncol = 5)
Y <- sin(X[, 1]) -  X[, 2] + rnorm(10)
model <- SDAM(x = X, y = Y, Q_type = "trim", trim_quantile = 0.5, nfold = 2, n_K = 1)
predict(model, newdata = data.frame(X))

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