Hello!

I am running a model that includes a varying effect for one predictor that is included in an interaction term. Similar to this:

```
bf( x ~ 1 + y + y:z (1 + y | group))
```

A global parameter estimate is produced for both `y`

and `y:z`

.

However, when using `coef()`

(with no specifications, only default settings) , all groups have the same coef estimate for the parameter `y:z`

. In my head this shouldn’t be, because the effect of `y`

depends on the group.

Are there other specifications for the `coef()`

function that I am missing? I expect the coefficient of `y:z`

to vary depending on group.

Any advice here would be much appreciated.

Thanks

- Operating System: macOS Catalina
- brms Version: 2.16.2