I do like the way rstanarm writes down priors for variance components of random effects, but I don’t quite know how that can be expressed in brms. At the moment I specify for each random effect standard deviation a prior separatley, but I would like to specify a prior on the overall variance and use a dirichlet prior for allocating fractions of this to the individual components.
Is that possible in brms?
# so this is how my random effect prior often look like: prior(normal(0,0.5), class="sd", group="group1") + prior(normal(0,0.25), class="sd", group="group2") # and a LKJ is used for the correlations # how can I model the above through the sum of the variance of both random effects and a dirichlet to model the fraction assigned to each component?
Thanks a lot!