Setting alias to random intercept of the parent parameter unexpectedly changes the name of the factor dimension

[digicosmos86]

Thank you so much, the Bambi team, for the latest version! The graphs look much cleaner now. There is one small inconsistency, though. For example: I have a model built in Bambi with the following graph (v is the parent parameter here):

I use model.set_alias({ "v": { "1|participant_id": "v_1|participant_id" } })

After rebuilding the model, the graph looks like this:

Note the new plate v_1|participant_id__factor_dim. It seems that this should not be changed with aliasing like this. The corresponding dimension in the InferenceData that bambi creates also changes, creating a bit of an inconsistency here