statsmodels.discrete.discrete_model.CountModel.predict

CountModel.predict(params, exog=None, exposure=None, offset=None, which='mean', linear=None)[source]

Predict response variable of a count model given exogenous variables

Parameters
paramsarray_like

Model parameters

exogarray_like, optional

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

exposurearray_like, optional

Log(exposure) is added to the linear prediction with coefficient equal to 1. If exposure is not provided and exog is None, uses the model’s exposure if present. If not, uses 0 as the default value.

offsetarray_like, optional

Offset is added to the linear prediction with coefficient equal to 1. If offset is not provided and exog is None, uses the model’s offset if present. If not, uses 0 as the default value.

linearbool

If True, returns the linear predicted values. If False, returns the exponential of the linear predicted value.

Notes

If exposure is specified, then it will be logged by the method. The user does not need to log it first.