static NegativeBinomialResults.prsquared()
  • References/Python/Statsmodels/Regression with Discrete Dependent Variable

statsmodels.discrete.discrete_model.NegativeBinomialResults.prsquared

2025-01-10 15:47:30
robust.norms.TrimmedMean()
  • References/Python/Statsmodels/Robust Linear Models

statsmodels.robust.norms.TrimmedMean class statsmodels.robust.norms.TrimmedMean(c=2

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

statsmodels.stats.diagnostic.compare_j statsmodels.stats.diagnostic.compare_j

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SkewNorm2_gen.moment()
  • References/Python/Statsmodels/Distributions

statsmodels.sandbox.distributions.extras.SkewNorm2_gen.moment

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

statsmodels.regression.mixed_linear_model.MixedLM.Estep

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

statsmodels.genmod.generalized_estimating_equations.GEEResults.params_sensitivity

2025-01-10 15:47:30
static MixedLMResults.pvalues()
  • References/Python/Statsmodels/Linear Mixed Effects Models

statsmodels.regression.mixed_linear_model.MixedLMResults.pvalues

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GMMResults.summary()
  • References/Python/Statsmodels/Generalized Method of Moments

statsmodels.sandbox.regression.gmm.GMMResults.summary

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IVGMM.predict()
  • References/Python/Statsmodels/Generalized Method of Moments

statsmodels.sandbox.regression.gmm.IVGMM.predict IVGMM

2025-01-10 15:47:30
DescStatUV.test_skew()
  • References/Python/Statsmodels/Empirical Likelihood

statsmodels.emplike.descriptive.DescStatUV.test_skew

2025-01-10 15:47:30