predict_individual_fj: Predictions of individual component functions for SDAM

In SDModels: Spectrally Deconfounded Models

Predictions of individual component functions for SDAM

Description

Predicts the contribution of an individual component j using a fitted SDAM.

Usage

predict_individual_fj(object, j, newdata = NULL)

Arguments

object	Fitted object of class SDAM.
j	Which component to evaluate.
newdata	New test data of class data.frame containing the covariates for which to predict the response.

Value

A vector of predictions for fj evaluated at Xjnew.

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_individual_fj(model, j = 1)

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