NegativeBinomialResults.t_test()
statsmodels.discrete.discrete_model.NegativeBinomialResults.t_test
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NegativeBinomialResults.t_test(r_matrix, cov_p=None, scale=None, use_t=None) -
Compute a t-test for a each linear hypothesis of the form Rb = q
Parameters: r_matrix : array-like, str, tuple
- array : 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.
- str : The full hypotheses to test can be given as a string. See the examples.
- tuple : A tuple of