tedana.stats
.get_coeffs
- get_coeffs(data, x, mask=None, add_const=False)[source]
Perform least-squares fit of x against data.
- Parameters:
data ((S [x E] x T) array_like) – Array where S is samples, E is echoes, and T is time
x ((T [x C]) array_like) – Array where T is time and C is predictor variables
mask ((S [x E]) array_like) – Boolean mask array
add_const (bool, optional) – Add intercept column to x before fitting. Default: False
- Returns:
betas ((S [x E] x C)
numpy.ndarray
) – Array of S sample betas for C predictors