statsmodels.stats.outliers_influence.OLSInfluence.summary_frame

OLSInfluence.summary_frame() [source]

Creates a DataFrame with all available influence results.

Returns:	frame – A DataFrame with all results.
Return type:	DataFrame

Notes

The resultant DataFrame contains six variables in addition to the DFBETAS. These are:

• cooks_d : Cook’s Distance defined in Influence.cooks_distance
• standard_resid : Standardized residuals defined in Influence.resid_studentized_internal
• hat_diag : The diagonal of the projection, or hat, matrix defined in Influence.hat_matrix_diag
• dffits_internal : DFFITS statistics using internally Studentized residuals defined in Influence.dffits_internal
• dffits : DFFITS statistics using externally Studentized residuals defined in Influence.dffits
• student_resid : Externally Studentized residuals defined in Influence.resid_studentized_external