使用rstan的贝叶斯模型的线性模型诊断

I'm looking for an efficient method to identify data points that have an outsize effect on the parameters of a linear model. This is straight-forward with ordinary linear models, but I'm not sure how to do it with Bayesian linear models. I'm looking for an efficient method to identify