static MixedLMResults.random_effects()
  • References/Python/Statsmodels/Linear Mixed Effects Models

statsmodels.regression.mixed_linear_model.MixedLMResults.random_effects

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static ProbPlot.sorted_data()
  • References/Python/Statsmodels/Graphics

statsmodels.graphics.gofplots.ProbPlot.sorted_data

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static OLSInfluence.det_cov_params_not_obsi()
  • References/Python/Statsmodels/Statistics

statsmodels.stats.outliers_influence.OLSInfluence.det_cov_params_not_obsi

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TrimmedMean.weights()
  • References/Python/Statsmodels/Robust Linear Models

statsmodels.robust.norms.TrimmedMean.weights TrimmedMean

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static RegressionResults.scale()
  • References/Python/Statsmodels/Linear Regression

statsmodels.regression.linear_model.RegressionResults.scale

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IVRegressionResults.cov_params()
  • References/Python/Statsmodels/Generalized Method of Moments

statsmodels.sandbox.regression.gmm.IVRegressionResults.cov_params

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sandbox.stats.multicomp.varcorrection_pairs_unbalanced()
  • References/Python/Statsmodels/Statistics

statsmodels.sandbox.stats.multicomp.varcorrection_pairs_unbalanced

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LogTransf_gen.isf()
  • References/Python/Statsmodels/Distributions

statsmodels.sandbox.distributions.transformed.LogTransf_gen.isf

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static IVRegressionResults.uncentered_tss()
  • References/Python/Statsmodels/Generalized Method of Moments

statsmodels.sandbox.regression.gmm.IVRegressionResults.uncentered_tss

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

statsmodels.genmod.families.family.Gamma.predict Gamma

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