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.

See also

statsmodels.stats.outliers_influence.GLMInfluence