GEE.predict()

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.