I have read some papers about including a random effect in a hurdle model, but none about including nested random effects, and would like to know if this is possible.
I have made census in 4 transects, with 20 fields inside each transect. I think using the glimmix procedure the code for the random effects would be:
random transects fields(transects)
But I don't know how to translate this into the hurdle model with the NLMIXED procedure. This is the nearest code I have for this (with only one random effect):