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 + beta2x2
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