Dear all,

I am very new to brms and Bayesian inference. My end goal is to develop a nominal categorical hierachical model. I am currently playing around with a simple model that has 3 categories. It is a model with an intercept and a single predictor:

The first category serves as the reference category. I have standardized my predictor (mean = 0, sd = 1) and would like to know how I can recover the brms estimates on the original, unstandardized metric scale (is there some sort of built-in function that can do this)? I understand that I can convert them manually by utilizing a relationship outlined in the “Doing Bayesian Data Analysis” textbook (2nd edition, page 624-625), also outlined in Solomon Kurz’s bookdown (Right before section 21.2), and looks something like this:

However, the above method might get a little tedious and complicated when considering a hierarchical structure to the model later on. Can anyone help me with this ? Your suggestions and guidance will be very much appreciated ! Please do let me know if I have been unclear in my description, I will try my best to clarify.

Clyde