Thanks Bob! Looking forward to meeting you at the conferences this week :).
Yes, I’ve moved over into the marginalized distributions based on the examples for the mixture models and they are treating me well so far. I’m still having issues with the ragged simplexes but, that’s a different thread.
I’m assuming a triangular distribution because my variables are linearly more likely based on the independent variable. For example, let’s say the number of potholes on a given street. If a street is twice as long it most likely has twice as many potholes. Do you think there is a better way to model this phenomenon? I’ve been trying to figure it out but so far a triangular probability seems to be the best bet.