statsmodels.regression.mixed_linear_model.MixedLMResults.t_test¶
- MixedLMResults.t_test(r_matrix, use_t=None)[source]¶
Compute a t-test for a each linear hypothesis of the form Rb = q
- Parameters:
- r_matrixarray_like
If an array is given, a p x k 2d array or length k 1d array specifying the linear restrictions. It is assumed that the linear combination is equal to zero.
- scale
float,optional An optional scale to use. Default is the scale specified by the model fit.
- use_tbool,
optional If use_t is None, then the default of the model is used. If use_t is True, then the p-values are based on the t distribution. If use_t is False, then the p-values are based on the normal distribution.
- Returns:
- res
ContrastResultsinstance The results for the test are attributes of this results instance. The available results have the same elements as the parameter table in summary().
- res