statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.get_influence¶
- ZeroInflatedGeneralizedPoissonResults.get_influence()¶
Influence and outlier measures
See notes section for influence measures that do not apply for zero inflated models.
- Returns:¶
The instance has methods to calculate the main influence and outlier measures as attributes.
- Return type:¶
Notes
ZeroInflated models have functions that are not differentiable with respect to sample endog if endog=0. This means that generalized leverage cannot be computed in the usual definition.
Currently, both the generalized leverage, in hat_matrix_diag attribute and studetized residuals are not available. In the influence plot generalized leverage is replaced by a hat matrix diagonal that only takes combined exog into account, computed in the same way as for OLS. This is a measure for exog outliers but does not take specific features of the model into account.