E.g. I have a hurdle model as follows:

`fit = brm(bf(zero_inflated_dependent_variable ~ predictor, hu ~ predictor, data = data, family = hurdle_lognormal(), cores = 3, chains = 3)`

I know how to plot the predictor effects of the non-hurdle part:

```
p = conditional_effects(fit, "predictor")
plot(p, plot = FALSE)[[1]] +
theme_classic()
```

**But how to easily plot such effects from the hurdle part of the model?**