std_limo#
- std_limo(data, design, *, method='OLS', parameter_names=None, times=None)#
Fit a first-level mass-univariate linear model.
- Parameters:
data (Any) – EEG observations with trials on the final axis. Channel-by-time- by-trial arrays are the usual input, but any feature dimensions are accepted.
design (Any) – Two-dimensional trial-by-parameter design matrix.
method (str) –
"OLS","WLS", or Tukey-bisquare"IRLS".parameter_names (list[str] | None) – Optional names for the columns of
design.times (Any) – Optional time coordinates retained in the result.
- Returns:
A dictionary containing beta estimates, fitted values, residuals, inferential statistics, the design matrix, and robust weights.
- Return type: