Calculate the leverage images for each outlier that meets the outlier_level threshold, with 3 (default) being the highest/strictest and 1 being the lowest.

get_leverage_images(X_svd, timepoints, const_mask = NULL)

Arguments

X_svd

A singular value decomposition (list with u, v, and d).

timepoints

The times for which to compute leverage images (rows of U).

const_mask

Mask for the voxels that were removed.

Value

A list of three: the mean leverage image for each outlier meeting the thresold, the top leverage image for each outlier, and the indices of the top leverage images.