Previously, fitting a Bayesian hierarchical model required third-party software or complex coding. Now, introduces bayes: meglm for multilevel generalized linear models. This allows you to incorporate random intercepts and slopes with full posterior sampling.
, "preparing a post" usually refers to using the commands to programmatically save results (like simulation or bootstrap data) into a new dataset. Stata 18