Use of 95% CI for measurement error instead of SE in brms

@Solomon’s idea is interesting. In general preserving information from posteriors into next fits completely is a challenge, some more discussion at e.g. Using posteriors as new priors ; Composing Stan models (posterior as next prior)

The best solution is to just fit a big model that includes everything (though that might be sometimes hard to implement).

Best of luck with the model!