def setupClass(cls): from results.results_discrete import RandHIE data = sm.datasets.randhie.load() exog = sm.add_constant(data.exog, prepend=False) cls.res1 = NegativeBinomial(data.endog, exog, 'geometric').fit(method='bfgs', disp=0) res2 = RandHIE() res2.negativebinomial_geometric_bfgs() cls.res2 = res2