How to properly do out-of-sample prediction for hierarchical model

Thanks. I read the page, but it seems like what I’ll have to do is quite different due to the use of coord (in my case one row of data is one data point, instead of one group).

Edit: OK I think I get the gists now. Basically to perform out-of-sampling prediction, I have to create a new model that covers both training and test sets, and make some additional assumptions regarding the unseen groups.