Dear all,

I’m using a truncated quantile (median) regression (using `asym_laplace`

) of the type

```
bf(Y | trunc(lb = 0) ~ 1 + x + (1 | id1) + (1 + x | id2), quantile = 0.5),
```

and would like to get conditional effects via `marginal_effects`

. **brms** tells me

`Error: Fitted values on the respone scale not yet implemented for truncated 'asym_laplace' models.`

My question: How difficult and effortful would it be (for me?) to properly implement that functionality and how would I approach this? And if it’s too difficult and effortful, is there a workaround I can use to create the kind of data `marginal_effects`

is producing?

Thanks!

- Operating System: macOS 10.14.6
- brms Version: 2.10.0