first of all, thanks for all the great work you’re doing!
I’ve been using
brm_multiple before and I was hoping
rstanarm had something like that, i.e., to use multiple datasets (with imputed values) and combine them all in one posterior. I have looked and looked but it doesn’t seem to be the case.
So, my question is how one could handle this in
rstanarm? I looked through the
brms source code it seems Paul does some magic and then combines the posteriors somehow. I see two approaches in
rstanarm that might work and I’d be grateful for any input:
- Somehow just bunch all posteriors together into one? Is there an easy way to do this (
brmsseem to do this for
- Create an MLM where datasets is one level?