I am fitting a mixed-effects beta-binomial model where both the \mu and \phi parameters have predictors.

```
m <- brm(
formula = bf(
y | trials(60) ~ 1 + x + (1 | cluster),
phi ~ 1 + x + (1 | cluster)
),
family = beta_binomial(),
...
)
```

I can generate a nice conditional effects plot showing the relationship between x and \mu like so:

```
conditional_effects(m, "x")
```

But I’m struggling to figure out how to plot the relationship between x and \phi.