Bayesian data influence measures in pymc3

Hi I was just wondering if there are any examples (or inbuilt functionality) in quantifying the influence of input observed data on an estimated bayesian model, and determination of influential data.

For example I would be interested in calculating a Bayesian version of cooks distance, for a model estimated using pymc3.