BinaryModel.fit_regularized()
  • References/Python/Statsmodels/Regression with Discrete Dependent Variable

statsmodels.discrete.discrete_model.BinaryModel.fit_regularized

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ProbitResults.summary2()
  • References/Python/Statsmodels/Regression with Discrete Dependent Variable

statsmodels.discrete.discrete_model.ProbitResults.summary2

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MultinomialResults.save()
  • References/Python/Statsmodels/Regression with Discrete Dependent Variable

statsmodels.discrete.discrete_model.MultinomialResults.save

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DiscreteModel.score()
  • References/Python/Statsmodels/Regression with Discrete Dependent Variable

statsmodels.discrete.discrete_model.DiscreteModel.score

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NegativeBinomialResults.load()
  • References/Python/Statsmodels/Regression with Discrete Dependent Variable

statsmodels.discrete.discrete_model.NegativeBinomialResults.load

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MNLogit.initialize()
  • References/Python/Statsmodels/Regression with Discrete Dependent Variable

statsmodels.discrete.discrete_model.MNLogit.initialize

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MultinomialResults.conf_int()
  • References/Python/Statsmodels/Regression with Discrete Dependent Variable

statsmodels.discrete.discrete_model.MultinomialResults.conf_int

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static MultinomialResults.prsquared()
  • References/Python/Statsmodels/Regression with Discrete Dependent Variable

statsmodels.discrete.discrete_model.MultinomialResults.prsquared

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NegativeBinomial.hessian()
  • References/Python/Statsmodels/Regression with Discrete Dependent Variable

statsmodels.discrete.discrete_model.NegativeBinomial.hessian

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discrete.discrete_model.LogitResults()
  • References/Python/Statsmodels/Regression with Discrete Dependent Variable

statsmodels.discrete.discrete_model.LogitResults class

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