VARResults.irf()
  • References/Python/Statsmodels/Time Series analysis

statsmodels.tsa.vector_ar.var_model.VARResults.irf

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

statsmodels.regression.mixed_linear_model.MixedLM.predict

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static ARMAResults.bic()
  • References/Python/Statsmodels/Time Series analysis

statsmodels.tsa.arima_model.ARMAResults.bic static ARMAResults

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QuantReg.loglike()
  • References/Python/Statsmodels/Linear Regression

statsmodels.regression.quantile_regression.QuantReg.loglike

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LeastSquares.psi()
  • References/Python/Statsmodels/Robust Linear Models

statsmodels.robust.norms.LeastSquares.psi LeastSquares.psi(z)

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

statsmodels.discrete.discrete_model.MultinomialModel

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

statsmodels.regression.mixed_linear_model.MixedLM.information

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

Generalized Linear Models (Formula)

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Input-Output iolib
  • References/Python/Statsmodels/Manual

Input-Output iolib statsmodels offers some functions for input and output. These include a reader for STATA files, a class for generating

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Logit.from_formula()
  • References/Python/Statsmodels/Regression with Discrete Dependent Variable

statsmodels.discrete.discrete_model.Logit.from_formula

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