Searched refs:ConditionalPoisson (Results 1 – 4 of 4) sorted by relevance
| /dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/discrete/tests/ |
| H A D | test_conditional.py | 3 ConditionalLogit, ConditionalPoisson, ConditionalMNLogit)
90 model1 = ConditionalPoisson(y, x, groups=g)
98 model2 = ConditionalPoisson.from_formula(
116 model = ConditionalPoisson(y, x, groups=g)
142 model = ConditionalPoisson(y, x, groups=g)
218 model0 = ConditionalPoisson(y, x, groups=groups)
222 model1 = ConditionalPoisson(y, x, groups=groups)
227 model2 = ConditionalPoisson(y, x, groups=groups)
237 model3 = ConditionalPoisson.from_formula(fml, groups="groups", data=df)
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| /dports/math/py-statsmodels/statsmodels-0.13.1/docs/source/ |
| H A D | discretemod.rst | 104 ConditionalPoisson
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| /dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/discrete/ |
| H A D | conditional_models.py | 351 class ConditionalPoisson(_ConditionalModel): class
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| /dports/math/py-statsmodels/statsmodels-0.13.1/docs/source/release/ |
| H A D | version0.10.rst | 60 :class:`~statsmodels.discrete.conditional_models.ConditionalPoisson`. These are known
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