[ADMB Users] zero-inflated poisson output

[Mollie Brooks]

Hi Daisy,
It sounds like you may be using an old version. Update and start using the function glmmadmb instead of glmm.admb. It returns the following:
An object of class "glmmadmb" representing the model fit, including (among others) components:

b	
vector of fixed effects

S	
covariance matrix of random effects

alpha	
scale/overdispersion parameter (negative binomial, Gamma, beta)

pz	
Zero-inflation parameter (only when zeroInflation=TRUE)

phi	
Matrix for converting from 'orthogonalized' to 'real' parameters: see Details


cheers,
Mollie

Mollie Brooks
Biology Department
University of Florida
mbrooks at ufl.edu
http://people.biology.ufl.edu/mbrooks




On 20 Jul 2012, at 8:25 AM, Brickhill, Daisy wrote:

> Hi all,
> I am using the glmm.admb package to fit a zero-inflated poisson mixed model. What I would like to know is why when I use summary(model) the output only gives (what appears to be) the count process result. I.e. the binomial process, that deals with the zero/non zero is not shown. If you use zeroinfl() from library(pscl) it gives both ‘Count model coefficients (poisson with log link)’ AND ‘Zero-inflation model coefficients (binomial with logit link)’. The glmm.admb output seems to give only the count model coefficients. I am using glmm.admb rather than zeroinfl() because I have a random effect. Can anyone tell me whether is a way I could extract the zero-inflation model coefficients from a glmm.admb model?
>  
> Many thanks,
> Daisy
>  
> 
> 
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