[R] Linear Mixed Effects

[Dimitris Rizopoulos]

AFAIK lme(), by default, estimates the covariance between two or more 
random-effects, thus you do not have to specify anything. You're 
probably looking for something like:

fit <- lme(y ~ time * treat, random = ~ time | subject)
fit
summary(fit)


I hope it helps.

Best,
Dimitris

----
Dimitris Rizopoulos
Ph.D. Student
Biostatistical Centre
School of Public Health
Catholic University of Leuven

Address: Kapucijnenvoer 35, Leuven, Belgium
Tel: +32/(0)16/336899
Fax: +32/(0)16/337015
Web: http://med.kuleuven.be/biostat/
     http://www.student.kuleuven.be/~m0390867/dimitris.htm


----- Original Message ----- 
From: "harry wills" <harry.wills at gmail.com>
To: <r-help at stat.math.ethz.ch>
Sent: Wednesday, June 28, 2006 9:02 AM
Subject: [R] Linear Mixed Effects


> Hi,
> I have implemented the lme in SAS and specified the random effects
> covariance structure as unstructured using the statement "random / 
> type=UN"
> I want to specify same in R but not able to know how to do it.
> Can anyone please advise me on how to proceed.
> Thanks
>
>
> -- 
> Wills, Harry
>
> [[alternative HTML version deleted]]
>
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