[R-sig-ME] Zero-inflated mixed models

[Zahwa Al Ayyash (Student)]

Thank you both for your responses!

> On Mar 4, 2015, at 4:21 AM, "Ben Bolker" <bbolker at gmail.com> wrote:
> 
> Zahwa Al Ayyash (Student <zsa11 at ...> writes:
> 
>> 
>> Dear all,
>> 
>> Zero-inflated models have a count component 
>> (Poisson/Neg. Binomial) and a zero component (logistic
>> regression part).
> 
>> glmmADMB supports the zero-inflation feature but only through
>> estimating a zero-inflation parameter that is assumed constant
>> across the whole data set?.
> 
>>  1.  ?Why doesn't the glmmadmb support the two-stage fitting of
>> zero-inflated models like it does with hurdle models? I once read
>> that its estimation might be more complex than that of hurdle
>> models. Is that true? If yes, why?
> 
>  It doesn't support it because we never got around to implementing
> it -- i.e. making sure the interface was well designed, implementing,
> and testing.
> 
>>  2.  Is there an R package that allows for the two-model fitting
>> (i.e., each model with its own covariates) of ZIP or ZINB (not
>> hurdle) and allowing for a random effect?
> 
>  You can take a look the stuff here:
> 
> https://groups.nceas.ucsb.edu/non-linear-modeling/projects/owls/WRITEUP/owls.pdf
> https://groups.nceas.ucsb.edu/non-linear-modeling/projects/owls
> https://groups.nceas.ucsb.edu/non-linear-modeling/projects/owls/R/owls_R_funs.R
> 
> search for 'zipme.f' in the source code.
> 
>  Ben Bolker
> 
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