[R-sig-ME] Zero-inflated beta hurdle model

Megan Hornseth mhorn@eth @ending from gm@il@com
Tue Sep 4 22:18:33 CEST 2018

I have a dataset that is a proportion of home range overlap (HRO) ranging
from 0-0.9. Depending on the dataset there are only a few zeros (~6) or
many (~50). There are multiple years worth of data for most individuals, so
I've included ID as a random effect. From what I've read, a zero-inflated
beta regression model, fitted using a hurdle model is most appropriate. I
realize I can do this in a two-step modelling process, but it also sounds
like glmmTMB is capable of doing this in a one-step hurdle model.

My current model formula (for HRO>0) is:

 sf.beta<-glmmTMB(HRO ~ Dist+site+(1|ID), data=NI95,

I haven't specified zi because I don't think it's necessary until I add the
zeros (though I could be wrong about this). Is it possible to use a hurdle
model for this example? What would the formula look like?

Thanks in advance!

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