statsmodels.gam.generalized_additive_model.GLMGamResults.get_influence

GLMGamResults.get_influence(observed=True)

Get an instance of GLMInfluence with influence and outlier measures

Parameters:
observedbool

If true, then observed hessian is used in the hat matrix computation. If false, then the expected hessian is used. In the case of a canonical link function both are the same.

Returns:
inflGLMInfluence instance

The instance has methods to calculate the main influence and outlier measures as attributes.