GLMResults.f_test()
statsmodels.genmod.generalized_linear_model.GLMResults.f_test
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GLMResults.f_test(r_matrix, cov_p=None, scale=1.0, invcov=None)
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Compute the F-test for a joint linear hypothesis.
This is a special case of
wald_test
that always uses the F distribution.Parameters: r_matrix : array-like, str, or tuple
- array : An r x k array where r is the number of restrictions to test and k is the number of regressors. It is assumed that the linear combination is equal to zero.
- str : The full hypotheses to test can be given as a s