multivariate mixed model
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/