statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialP.predict¶
- ZeroInflatedNegativeBinomialP.predict(params, exog=None, exog_infl=None, exposure=None, offset=None, which='mean')¶
Predict response variable of a count model given exogenous variables.
- Parameters:
- paramsarray_like
The parameters of the model
- exog
ndarray,optional A reference to the exogenous design. If not assigned, will be used exog from fitting.
- exog_infl
ndarray,optional A reference to the zero-inflated exogenous design. If not assigned, will be used exog from fitting.
- offset
ndarray,optional Offset is added to the linear prediction with coefficient equal to 1.
- exposure
ndarray,optional Log(exposure) is added to the linear prediction with coefficient equal to 1. If exposure is specified, then it will be logged by the method. The user does not need to log it first.
- which
str,optional Define values that will be predicted. ‘mean’, ‘mean-main’, ‘linear’, ‘mean-nonzero’, ‘prob-zero, ‘prob’, ‘prob-main’ Default is ‘mean’.