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<p class=MsoNormal>Hello admb users, <o:p></o:p></p>
<p class=MsoNormal><o:p> </o:p></p>
<p class=MsoNormal>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.<o:p></o:p></p>
<p class=MsoNormal><o:p> </o:p></p>
<p class=MsoNormal>As of now I have <o:p></o:p></p>
<p class=MsoNormal>M1<-glmm.admb( Y ~ V1 + V2 + V3 +V4 +V5, random = ~
U, group="U", data=A1, family="nbinom")<o:p></o:p></p>
<p class=MsoNormal>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. <o:p></o:p></p>
<p class=MsoNormal><o:p> </o:p></p>
<p class=MsoNormal>Does this sound reasonable? <o:p></o:p></p>
<p class=MsoNormal><o:p> </o:p></p>
<p class=MsoNormal>Kind regards, <o:p></o:p></p>
<p class=MsoNormal><o:p> </o:p></p>
<p class=MsoNormal><o:p> </o:p></p>
<p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>Pete</span><o:p></o:p></p>
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