[R-sig-ME] multivariate mixed model

[Andrew Robinson]

It's not easy, but it can be done.  The approach is to define each
multivariate response as a cluster.  I did it in nlme for the
following article:

Robinson, A.P., 2004. Preserving correlation while modelling diameter
distributions.  Canadian Journal of Forest Research 34, 221

Daniel Hall (University of Georgia, I think) did it for non-linear
models, in a paper published in Biometrics (I think) about 5 years ago
...

Andrew

On Mon, Mar 10, 2008 at 07:58:35PM +0100, Irene Mantzouni wrote:
>  
> 
> ________________________________
> 
> From: Irene Mantzouni
> Sent: Mon 10/03/2008 7:17 PM
> To: R-sig-mixed-models at r-project.org
> Subject: multivariate mixed model 
> 
> 
> 
> Hi all!
> 
> 
> 
> Just a quick question: 
> 
> Is it possible to fit a normal multivariate linear mixed model either with nlme or lme4? 
> 
> Reference to an example would be very helpful!
> 
> 
> 
> Thank you! 
> 
> _______________________________________________
> R-sig-mixed-models at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models

-- 
Andrew Robinson  
Department of Mathematics and Statistics            Tel: +61-3-8344-6410
University of Melbourne, VIC 3010 Australia         Fax: +61-3-8344-4599
http://www.ms.unimelb.edu.au/~andrewpr
http://blogs.mbs.edu/fishing-in-the-bay/