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

statsmodels.genmod.generalized_linear_model.GLMResults.fittedvalues

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OLSResults.normalized_cov_params()
  • References/Python/Statsmodels/Linear Regression

statsmodels.regression.linear_model.OLSResults.normalized_cov_params

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tools.tools.ECDF()
  • References/Python/Statsmodels/Tools

statsmodels.tools.tools.ECDF class statsmodels.tools.tools.ECDF(x, side='right')

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tools.tools.recipr()
  • References/Python/Statsmodels/Tools

statsmodels.tools.tools.recipr statsmodels.tools.tools.recipr(X)

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sandbox.regression.gmm.IVGMM()
  • References/Python/Statsmodels/Generalized Method of Moments

statsmodels.sandbox.regression.gmm.IVGMM class statsmodels.sandbox

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

statsmodels.discrete.discrete_model.ProbitResults.pred_table

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

statsmodels.discrete.discrete_model.Logit.initialize

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OLSResults.initialize()
  • References/Python/Statsmodels/Linear Regression

statsmodels.regression.linear_model.OLSResults.initialize

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

statsmodels.discrete.discrete_model.NegativeBinomial.score

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Gaussian.weights()
  • References/Python/Statsmodels/Generalized Estimating Equations

statsmodels.genmod.families.family.Gaussian.weights

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