statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.wald_test_terms

ZeroInflatedNegativeBinomialResults.wald_test_terms(skip_single=False, extra_constraints=None, combine_terms=None)

Compute a sequence of Wald tests for terms over multiple columns

This computes joined Wald tests for the hypothesis that all coefficients corresponding to a term are zero.

Terms are defined by the underlying formula or by string matching.

Parameters:	skip_single (boolean) – If true, then terms that consist only of a single column and, therefore, refers only to a single parameter is skipped. If false, then all terms are included. extra_constraints (ndarray) – not tested yet combine_terms (None or list of strings) – Each string in this list is matched to the name of the terms or the name of the exogenous variables. All columns whose name includes that string are combined in one joint test.
Returns:	test_result – The result instance contains table which is a pandas DataFrame with the test results: test statistic, degrees of freedom and pvalues.
Return type:	result instance

Examples

>>> res_ols = ols("np.log(Days+1) ~ C(Duration, Sum)*C(Weight, Sum)", data).fit()
>>> res_ols.wald_test_terms()
<class 'statsmodels.stats.contrast.WaldTestResults'>
                                          F                P>F  df constraint  df denom
Intercept                        279.754525  2.37985521351e-22              1        51
C(Duration, Sum)                   5.367071    0.0245738436636              1        51
C(Weight, Sum)                    12.432445  3.99943118767e-05              2        51
C(Duration, Sum):C(Weight, Sum)    0.176002      0.83912310946              2        51

>>> res_poi = Poisson.from_formula("Days ~ C(Weight) * C(Duration)",                                            data).fit(cov_type='HC0')
>>> wt = res_poi.wald_test_terms(skip_single=False,                                          combine_terms=['Duration', 'Weight'])
>>> print(wt)
                            chi2             P>chi2  df constraint
Intercept              15.695625  7.43960374424e-05              1
C(Weight)              16.132616  0.000313940174705              2
C(Duration)             1.009147     0.315107378931              1
C(Weight):C(Duration)   0.216694     0.897315972824              2
Duration               11.187849     0.010752286833              3
Weight                 30.263368  4.32586407145e-06              4