Posterior predictive check for binomial regression



There are quite few discussions how to perform posterior predictive checks (both visually and quantitatively) for binomial and logistic regression. I have a stan model for binomial classification and generated posterior predictive distribution. I am struggling to understand how to use it to assess the model.

Thanks for the advice.


This paper might give you some ideas:


There are examples of how to make binned and continuous calibration plots for logistic regression (made with rstanarm) at