GLMResults.load()
  • References/Python/Statsmodels/Generalized Linear Models

statsmodels.genmod.generalized_linear_model.GLMResults.load

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GLMResults.remove_data()
  • References/Python/Statsmodels/Generalized Linear Models

statsmodels.genmod.generalized_linear_model.GLMResults.remove_data

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static GLMResults.llf()
  • References/Python/Statsmodels/Generalized Linear Models

statsmodels.genmod.generalized_linear_model.GLMResults.llf

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GLM.information()
  • References/Python/Statsmodels/Generalized Linear Models

statsmodels.genmod.generalized_linear_model.GLM.information

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static GLMResults.deviance()
  • References/Python/Statsmodels/Generalized Linear Models

statsmodels.genmod.generalized_linear_model.GLMResults.deviance

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GLM.score_obs()
  • References/Python/Statsmodels/Generalized Linear Models

statsmodels.genmod.generalized_linear_model.GLM.score_obs

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GLMResults.cov_params()
  • References/Python/Statsmodels/Generalized Linear Models

statsmodels.genmod.generalized_linear_model.GLMResults.cov_params

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GLMResults.predict()
  • References/Python/Statsmodels/Generalized Linear Models

statsmodels.genmod.generalized_linear_model.GLMResults.predict

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GLMResults.conf_int()
  • References/Python/Statsmodels/Generalized Linear Models

statsmodels.genmod.generalized_linear_model.GLMResults.conf_int

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static GLMResults.null()
  • References/Python/Statsmodels/Generalized Linear Models

statsmodels.genmod.generalized_linear_model.GLMResults.null

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