@Xinyi_Chen, @andrewgelman and I are working on updating the MI package from a backend of bayesglm to a backend of rstanarm with the “optimize” setting.
Are there any diagnostics that we ought to be looking at?
@avehtari added a few to 2.19
My main recommendation is that we should be using much stronger default priors. Perhaps something like Cauchy(0, 0.5) for all coefs except for the constant term?