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)[] + theme_classic()
But how to easily plot such effects from the hurdle part of the model?