Access standardized residuals, cook's values, hatvalues (leverage) etc. easily in Python?

Question

I am looking for influence statistics after fitting a linear regression. In R I can obtain them (e.g.) like this:

hatvalues(fitted_model) #hatvalues (leverage)
c         


        

Answer 1

I found it here:

http://www.statsmodels.org/dev/generated/statsmodels.stats.outliers_influence.OLSInfluence.summary_frame.html

OLSInfluence.summary_frame()