[R-sig-ME] MCMCglmm with cross-classified random effects

[Jarrod Hadfield]

Hi,

As long as the levels of re1 and re2 are uniquely labelled any cross  
classification will be dealt with appropriately.

Cheers,

Jarrod


Quoting Agostino Moro <agostino.moro99 at gmail.com> on Mon, 13 Feb 2012  
15:02:20 +0000:

> Dear R-users,
>
> I would like to fit  a glmm with cross-classified random effects with
> the function MCMCglmm. Something along the lines:
>
> model1<-MCMCglmm(response~pred1, random=~re1+re2, data=data)
>
> where re1 and re2 should be crossed random effects. I was wondering
> whether you could tell me specifying cross-classified random effects
> in MCMCglmm requires a particular syntax? Are there any examples
> somewhere? I have had a look at the manual and the package vignette,
> but I have not been able to find any examples relevant to what I want
> to do.
>
> Thanks,
>
> Agostino
>
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>



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