[ADMB Users] Values for random effects

[Schweizer, Peter E.]

Many Thanks to D.Fournier and H.Skaug for their prompt responses to my inquiry. 
Below are model statements and summaries. Hans suggested to change random = ~ U to random = ~ 1, which produced the single value output I was looking for. 

Cheers, 

Pete


-----Original Message-----
From: users-bounces at admb-project.org [mailto:users-bounces at admb-project.org] On Behalf Of dave fournier
Sent: Friday, November 12, 2010 7:24 PM
To: users at admb-project.org
Subject: Re: [ADMB Users] Values for random effects

Can you show us the model summary.
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On Fri, Nov 12, 2010 at 8:08 PM, Schweizer, Peter E.
<schweizerpe at ornl.gov> wrote:
> Hello admb users,
>
>
>
> I just recently  'discovered' glmm.admb and  would be interested to 
> learn if admb in R can provide a  single value for random effects, 
> similar to a 'working correlation' in SAS when using GEE.
>
>
>
> As of now I have
>
> M1<-glmm.admb( Y ~  V1 + V2 + V3 +V4 +V5, random = ~ U, group="U", 
> data=A1,
> family="nbinom")
>
> In this case, U has 7 groups and in the model summary for above  model 
> M1 I am getting (7) values for the diagonal matrix of the random 
> effects. What I would like to obtain is a value that expresses the 
> random effect for all groups in ONE single value, similar to a 
> 'working correlation' in SAS when using GEE.
>
>
>
> Does this sound reasonable?
>
>
>
> Kind regards,
>
>
>
>
>
> Pete
>
>