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

statsmodels.genmod.generalized_linear_model.GLM.score_obs

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Independence.covariance_matrix()
  • References/Python/Statsmodels/Generalized Estimating Equations

statsmodels.genmod.cov_struct.Independence.covariance_matrix

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

statsmodels.discrete.discrete_model.MultinomialResults.aic

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GEEResults.initialize()
  • References/Python/Statsmodels/Generalized Estimating Equations

statsmodels.genmod.generalized_estimating_equations.GEEResults.initialize

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static IVGMMResults.pvalues()
  • References/Python/Statsmodels/Generalized Method of Moments

statsmodels.sandbox.regression.gmm.IVGMMResults.pvalues

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

statsmodels.sandbox.regression.gmm.IVRegressionResults

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Interactions and ANOVA
  • References/Python/Statsmodels/Examples

Interactions and ANOVA

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graphics.correlation.plot_corr_grid()
  • References/Python/Statsmodels/Graphics

statsmodels.graphics.correlation.plot_corr_grid statsmodels

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GEEResults.save()
  • References/Python/Statsmodels/Generalized Estimating Equations

statsmodels.genmod.generalized_estimating_equations.GEEResults.save

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MixedLM.EM()
  • References/Python/Statsmodels/Linear Mixed Effects Models

statsmodels.regression.mixed_linear_model.MixedLM.EM

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