Apologies if I’ve missed this in the docs.
Short of manually calculating them, is there a built-in method to recover/predict the parameters b0 & b1 for a more complicated version of a model fitted using the following formula?
# Simplified for this question bf_fit<-bf(y ~ b0 + b1*(x1 + b1), b0 ~ 1 + (1 | p), b1 ~ x2 + (1 | p), nl=TRUE)
What Have I’ve tried?
predict.brmsfit with e.g. resp=‘b0’ seems to predict y.