whiten: Fit and apply whitening in one call

In fmriAR: Fast AR and ARMA Noise Whitening for Functional MRI (fMRI) Design and Data

Fit and apply whitening in one call

Description

Fit and apply whitening in one call

Usage

whiten(X, Y, runs = NULL, censor = NULL, ...)

Arguments

X	Design matrix (time x regressors).
Y	Data matrix (time x voxels).
runs	Optional run labels.
censor	Optional censor indices.
...	Additional parameters passed to fit_noise().

Value

List with whitened X and Y matrices.

Examples

# Create example data
n_time <- 200
n_pred <- 3
n_voxels <- 50
X <- matrix(rnorm(n_time * n_pred), n_time, n_pred)
Y <- X %*% matrix(rnorm(n_pred * n_voxels), n_pred, n_voxels) +
     matrix(rnorm(n_time * n_voxels, sd = 2), n_time, n_voxels)

# One-step whitening
whitened <- whiten(X, Y, method = "ar", p = 2)

fmriAR documentation built on Jan. 26, 2026, 1:07 a.m.