R help - Oct 2009 - hierarchical partitioning in generalized linear mixed models

dear colleagues,
I want to use hierarchical partitioning methods to evaluate variance  
contributions of differente predictors within a generalized linear  
mixed model framework. I don't know if this is possible, because I can  
not found anything about this issue. My error is poisson and I, at  
least, a random factor in the designed analysis.
I acknowledge any idea about how deal with random factors in the  
hierarchical partitioning schedule.

Many thanks in advance,

Emilio Virg?s
Universidad Rey Juan Carlos

The obvious search strategy within Thompson's excellent compendium of  
R methods to accompany Agresti succeeds:

https://home.comcast.net/~lthompson221/Splusdiscrete2.pdf

In particular pages 260-267.

On Oct 28, 2009, at 5:54 PM, emilio.virgos at urjc.es wrote:
> dear colleagues,
> I want to use hierarchical partitioning methods to evaluate variance  
> contributions of differente predictors within a generalized linear  
> mixed model framework. I don't know if this is possible, because I  
> can not found anything about this issue. My error is poisson and I,  
> at least, a random factor in the designed analysis.
> I acknowledge any idea about how deal with random factors in the  
> hierarchical partitioning schedule.
>
> Many thanks in advance,
>
> Emilio Virg?s
> Universidad Rey Juan Carlos
David Winsemius, MD
Heritage Laboratories
West Hartford, CT