Neither lme nor lmer has provision for fitting multivariate models.
On 7/5/05, Constantinos Antoniou <antoniou at central.ntua.gr>
wrote:> Dear all,
>
> is it possible to estimate a multivariate multilevel model in R (I
> guess the term in R is mixed-effects model). I can estimate
> univariate models using either lme{nlme} or lmer{lme4}, but when I
> use a multivariate response, I get the same output as if I was trying
> to estimate a univariate model.
>
> [For a reproducible example, please download http://mit.edu/costas/
> www/parav.txt and run:
>
> >Parav<-read.table("parav.txt",header=T)
> >library(nlme)
> >attach(Parav)
> ]
>
>
> >myResponse <- cbind(accidents,Killed)
>
> I get the same thing as if I used only accidents as the response.
>
> For example:
>
> >parav7.lme <- lme(accidents~alcontrols,random=~1+alcontrols|
> department/prefecture,data=Parav)
>
> yields the same output as:
>
> >parav8.lme <- lme(myResponse~alcontrols,random=~1+alcontrols|
> department/prefecture,data=Parav)
>
>
> Thank you,
>
> Costas
>
> PS. I am working on R-2.1.0a on a Mac 10.4.1.
>
>
>
>
> --
> Constantinos Antoniou, Ph.D.
> Department of Transportation Planning and Engineering
> National Technical University of Athens
> 5, Iroon Polytechniou str. GR-15773, Athens, Greece
>
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