R help - Feb 2012 - MCMCglmm with cross-classified random effects

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

Agostino Moro <agostino.moro99 <at> gmail.com> writes:
> 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.
 [snip to make gmane happy. Thank you for trying to find the answer
before posting ...]

  It would probably be best to post this one to the r-sig-mixed-models
<at> r-project.org mailing list instead ...

  Ben Bolker