How can I set distinct priors for each distributional parameter in a dirichlet model in BRMS?
Here is my code
model <- brm(outcome ~ 1, data = d, family = dirichlet(refcat = 'c'))
where d is a dataframe containing variables ‘a’, ‘b’, and ‘c’.
If I use
p <- c(prior_string("student_t(1, 2, 3)", class='Intercept'))
I am able to set the priors for both the a and b distributional parameters. How can I set each one individually?
Found the answer… it is at the following link: