static OLSResults.centered_tss()
  • References/Python/Statsmodels/Linear Regression

statsmodels.regression.linear_model.OLSResults.centered_tss

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LinearIVGMM.gmmobjective()
  • References/Python/Statsmodels/Generalized Method of Moments

statsmodels.sandbox.regression.gmm.LinearIVGMM.gmmobjective

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

statsmodels.regression.mixed_linear_model.MixedLMResults.cov_params

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ArmaProcess.from_estimation()
  • References/Python/Statsmodels/Time Series analysis

statsmodels.tsa.arima_process.ArmaProcess.from_estimation

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

statsmodels.regression.mixed_linear_model.MixedLMResults.pvalues

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

statsmodels.genmod.families.family.Binomial.initialize

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

statsmodels.regression.mixed_linear_model.MixedLMResults.random_effects

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

statsmodels.regression.mixed_linear_model.MixedLM.information

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PHRegResults.save()
  • References/Python/Statsmodels/Models for Survival and Duration Analysis

statsmodels.duration.hazard_regression.PHRegResults.save

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tsa.stattools.pacf_ols()
  • References/Python/Statsmodels/Time Series analysis

statsmodels.tsa.stattools.pacf_ols statsmodels.tsa.stattools.pacf_ols(x, nlags=40)

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