Hello, I’m new to this kind of modeling.
say i have y variables, and its values are between 0 and 1 (not including 0 and 1),
and my predictor is a categorical variable, with 4 levels: animals, people, items, insects.
I read that a fitted DGP for this type of y values can be Beta() distribution.
so if i have a beta(alpha, beta) DGP,
how do I model each parameter?
eventually i want to see if there are differences between those catagories in the y values