t_test(r_matrix, scale=None, use_t=None)¶
Compute a t-test for a each linear hypothesis of the form Rb = q
r_matrix : array-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_t : bool, 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.
res : ContrastResults instance
The results for the test are attributes of this results instance. The available results have the same elements as the parameter table in summary().