Mean model for "hurdle" proportion

Please also provide the following information in addition to your question:

I am fitting a hurdle_lognormal() mixed effects model to some zero inflated right skewed data.
However I cant see how I can fit the mean model to the zero/non/zero proportion. The coefficients reported in the summary relate to the lognormal model fitted to the non-zero data. Is it possible to fit a mean model to the “hurdle” proportion"?

brm(formula = Y ~ District + (1|ID),
data = DT, family = hurdle_lognormal(),
warmup = 1000, iter = 2000, chains = 4,
control = list(adapt_delta = 0.95))

  • Operating System: Windows 10
  • brms Version:2.9

Please see the brms_distributional vignette and ?brmsformula for documatenation.