static QuantRegResults.nobs()
  • References/Python/Statsmodels/Linear Regression

statsmodels.regression.quantile_regression.QuantRegResults.nobs

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RLMResults.predict()
  • References/Python/Statsmodels/Robust Linear Models

statsmodels.robust.robust_linear_model.RLMResults.predict

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BinaryResults.get_margeff()
  • References/Python/Statsmodels/Regression with Discrete Dependent Variable

statsmodels.discrete.discrete_model.BinaryResults.get_margeff

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MultinomialModel.predict()
  • References/Python/Statsmodels/Regression with Discrete Dependent Variable

statsmodels.discrete.discrete_model.MultinomialModel.predict

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PoissonZiGMLE.jac()
  • References/Python/Statsmodels/Other Models

statsmodels.miscmodels.count.PoissonZiGMLE.jac PoissonZiGMLE

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CLogLog.inverse()
  • References/Python/Statsmodels/Generalized Estimating Equations

statsmodels.genmod.families.links.CLogLog.inverse CLogLog

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Poisson.jac()
  • References/Python/Statsmodels/Regression with Discrete Dependent Variable

statsmodels.discrete.discrete_model.Poisson.jac Poisson

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stats.diagnostic.compare_cox
  • References/Python/Statsmodels/Statistics

statsmodels.stats.diagnostic.compare_cox statsmodels.stats.diagnostic

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Generalized Linear Models (Formula)
  • References/Python/Statsmodels/Examples

Generalized Linear Models (Formula)

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

statsmodels.discrete.discrete_model.DiscreteResults.summary2

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