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statsmodels.genmod.generalized_estimating_equations.GEE.predict

GEE.predict(params, exog=None, offset=None, exposure=None, linear=False)[source]

Return predicted values for a marginal regression model fit using GEE.

Parameters:

params : array-like

Parameters / coefficients of a marginal regression model.

exog : array-like, optional

Design / exogenous data. If exog is None, model exog is used.

offset : array-like, optional

Offset for exog if provided. If offset is None, model offset is used.

exposure : array-like, optional

Exposure for exog, if exposure is None, model exposure is used. Only allowed if link function is the logarithm.

linear : bool

If True, returns the linear predicted values. If False, returns the value of the inverse of the model’s link function at the linear predicted values.

Returns:

An array of fitted values :

Notes

Using log(V) as the offset is equivalent to using V as the exposure. If exposure U and offset V are both provided, then log(U) + V is added to the linear predictor.

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