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; if subject is a column in ds it will be extracted automatically.

• sub (index) – Only use part of the data.

See also

LMGroup

Examples

See Two-stage test example.

Methods

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