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I’m modeling likert scale data. The likert scale has 7 points. I’m plotting priors to make sure the model I’m fitting makes sense, but I can’t seem to get the priors on the intercepts right. I’m trying to tell brms that the most likely response is the 5th and 6th likert scale point but I only seem to be able to increase the probability of the first or last likert scale point with a prior like the one below.
prior = c(set_prior("normal(-1,.5)", class = "Intercept")