Code for Simulating Power for Hierarchical Bayesian models?

I don’t have the real data yet but I am looking to simulate statistical power for a Hierarchical Bayesian Model. Is there existing R (or Python) code for this? Thanks!

What does power mean to you in a Bayesian context? Traditional power is all about detecting a difference from a null hypothesis.

If you want to determine how accurately you can recover a parameter, you can generate data with known parameters from the generative model, and then run Stan on the data and look at the posterior relative to the known simulation.


Kruschke discussed this a bit in his text, chapter 13.