let’s not do this by code. I know how that will go if I throw up a whole page of code. What it is, the model has a dynamic HMM component which calculates the transition probability using logistic regression, that’s one set of parameters. For each HMM state, there is another probability of conversion which is calculated by another set of parameters. there is a third set of parameters, which is involved in estimation of the HMM state. So all together, 3 separate sets of parameters. If I lump all 3 into the current parameter passing matrix, first there needs to be room for more than one set of intercepts, second, it would not make sense to generate covariance terms for parameters that are not in the same sets. My question is therefore, should I modify the ep-stan code to allow multiple sets of parameter passing structures. Hope this is clear.