Setting Priors on User-Defined Regressor Coefficients

[Pran Chanthrakumar]

Hello! 

In the HDDM framework, I understand that we can set priors for the base DDM parameters (like v, a, z, t) using the model_config, as shown in the tutorial docs. My question is: can we also set priors for additional regressor coefficients — for example, when including predictors like trial number, EEG activity, or reward values? For example, if I specify drift rate as "v ~ 1 + myTaskCondition" and use HDDMnnRegressor, I get an estimate for "v_myTaskCondition". Is there a way to set a custom prior specifically on that regressor coefficient v_myTaskCondition?

A few prior posts are related to this, but most involve only the base DDM parameters (v, a, z, t) or are from 10+ years ago (see: 1, 2, 3, 4, 5). It does seem like this is possible with HSSM, but was hoping to wrap up something I started with HDDM before making the switch.

Thanks!