I would like to fit the following model
m <-brm(dead | trials(n) ~ log10(dose)*insect*platform + (log10(dose)*platform | experiment), data=dff , family=binomial(link=probit), save_pars = save_pars(all=TRUE), cores = getOption("mc.cores",4), iter=10000, warmup=2000, control = list(adapt_delta = 0.95, max_treedepth=15), backend = "cmdstanr")
platform are factors.
platform takes on 2 possible values. Almost every experiment is run on both platforms, but there are a couple for which I have data on just one platform. The model fits just fine, and the experiment specific platform effects are just very diffuse for those experiments for which I have missing data.
Is it possible (also is it reasonable?) for me to specify that the experiment specific platform effects for those experiments with missing data are 0? How do I specify that?