Apply Soft Projection to Data and Design

Applies the soft projection to both the data matrix Y and design matrix X. Both must be projected to avoid bias in coefficient estimates.

Usage

apply_soft_projection(proj, Y, X)

Arguments

proj

A soft_projection object from soft_projection().

Y

Data matrix (time x voxels).

X

Design matrix (time x predictors).

Value

List with projected Y and X.

Examples

set.seed(123)
N <- matrix(rnorm(100 * 20), nrow = 100, ncol = 20)
Y <- matrix(rnorm(100 * 50), nrow = 100, ncol = 50)
X <- cbind(1, rnorm(100))

proj <- soft_projection(N, lambda = "auto")
cleaned <- apply_soft_projection(proj, Y, X)
# Use cleaned$Y and cleaned$X for GLM fitting