tedana.model.fit.get_coeffs

get_coeffs(data, mask, X, add_const=False)

Performs least-squares fit of X against data

Parameters:

• data ((S x T) array-like) – Array where S is samples and T is time
• mask ((S,) array-like) – Boolean mask array
• X ((T x C) array-like) – Array where T is time and C is predictor variables
• add_const (bool, optional) – Add intercept column to X before fitting. Default: False

Returns:

betas – Array of S sample betas for C predictors

Return type:

(S x C) numpy.ndarray