Hi all,

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.

Thanks