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

statsmodels.genmod.families.family.Gaussian.starting_mu

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NegativeBinomial.starting_mu()
  • References/Python/Statsmodels/Generalized Estimating Equations

statsmodels.genmod.families.family.NegativeBinomial.starting_mu

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

statsmodels.genmod.cov_struct.GlobalOddsRatio.initialize

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static GEEMargins.pvalues()
  • References/Python/Statsmodels/Generalized Estimating Equations

statsmodels.genmod.generalized_estimating_equations.GEEMargins.pvalues

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

statsmodels.genmod.generalized_estimating_equations.GEEResults.predict

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GlobalOddsRatio.covariance_matrix_solve()
  • References/Python/Statsmodels/Generalized Estimating Equations

statsmodels.genmod.cov_struct.GlobalOddsRatio.covariance_matrix_solve

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

statsmodels.genmod.generalized_estimating_equations.GEEResults.pvalues

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cauchy.deriv()
  • References/Python/Statsmodels/Generalized Estimating Equations

statsmodels.genmod.families.links.cauchy.deriv cauchy

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Power.deriv()
  • References/Python/Statsmodels/Generalized Estimating Equations

statsmodels.genmod.families.links.Power.deriv Power.deriv(p)

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NegativeBinomial.inverse_deriv()
  • References/Python/Statsmodels/Generalized Estimating Equations

statsmodels.genmod.families.links.NegativeBinomial.inverse_deriv

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