eelbrain.testnd.LM

class eelbrain.testnd.LM(y, model, ds=None, coding='dummy', subject=None, sub=None)

Fixed effects linear model

Parameters:

y : NDVar

Dependent variable.

model : Model

Model to fit.

ds : Dataset

Optional Dataset providing data for y/model.

coding : ‘dummy’ | ‘effect’

Model parametrization (default is dummy coding). Vars are centered for effect coding (but not for dummy coding).

subject : str

Optional information used by LMGroup.

sub : index

Only use part of the data.

See also

LMGroup

Examples

See Two-stage test example.

Methods

coefficient(self, term)	NDVar with regression coefficient for a given term
t(self, term)	NDVar with t-values for a given term