Preprocess a subject block into DKGE training space

Applies the same transformations used during fitting (pooled design Cholesky factor, kernel whitening, optional spatial weights, and subject weighting) to a subject's beta matrix.

Usage

dkge_transform_block(fit, B_s, Omega_s = NULL, w_s = NULL)

Arguments

fit

A `dkge` object.

B_s

qxP matrix of subject betas.

Omega_s

Optional weights (vector length P or PxP matrix) matching the columns of `B_s`.

w_s

Optional subject-level weight (defaults to 1 when omitted).

Value

qxP matrix in the DKGE training space.