Hello,

I am making a very simple model with random effects (or which ever name is best used here), say

y ~ 1 + x1 + x2 + (x1)|Group

that is, the estimates for x1 and x2 would be slightly different for each Group, but under a partial-pooling, a shrinkage.

Maybe I am just new to it. Coming from JAGS, I would set (ignoring other settings for now)

y ~ beta0 + beta1[Group]*x1 + beta2*x2

beta1[Group] ~ normal( beta1mu, beta1sigma)

However, when I do it in brms, I can only set prior for the “sd” of x1.

Therefore, I understand, with brms I can set the prior for beta1sigma, but not for beta1mu.

Do I understand it correctly?

Thank you very much

- Operating System: Windows 10
- brms Version: 2.12.0