[R] Another Mix Model Question
Dimitris Rizopoulos
dimitris.rizopoulos at med.kuleuven.be
Tue Jun 21 10:22:31 CEST 2005
AFAIK the COVTEST option just computes a Wald test! Since you want
test for variance components (which is on the boundary of the
parameter space), I'd suggest to use a LRT (i.e., anova.lme(model.1,
model.2)) and moreover consider the simulate.lme() function of the
"nlme" package.
Best,
Dimitris
----
Dimitris Rizopoulos
Ph.D. Student
Biostatistical Centre
School of Public Health
Catholic University of Leuven
Address: Kapucijnenvoer 35, Leuven, Belgium
Tel: +32/16/336899
Fax: +32/16/337015
Web: http://www.med.kuleuven.be/biostat/
http://www.student.kuleuven.ac.be/~m0390867/dimitris.htm
----- Original Message -----
From: "Alfonso M Sanchez-Lafuente" <alfonso at slafuente.net>
To: <r-help at stat.math.ethz.ch>
Sent: Tuesday, June 21, 2005 9:57 AM
Subject: [R] Another Mix Model Question
> Hi again,
>
> thank you for your previous answers. Just another question, though
> ...
>
> I get the following variance components after fitting a mixed model.
>
>
> Groups Name Variance Std.Dev. Corr
> PlantID TreatmCtrl 0.51784 0.71961
> TreatmNoAccess 4.77469 2.18511 -0.063
> TreatmNoKeel 4.22726 2.05603 0.513 0.751
> TreatmNoSpur 0.45918 0.67763 0.158 0.303 0.319
> TreatmNoStand 3.45357 1.85838 -0.736 -0.070 -0.435
> 0.495
> PlantID PollClassApis 1.12364 1.06002
> PollClassBombAnth 0.42769 0.65398 -0.759
> Residual 3.09669 1.75974
>
> My question is: if n random effects are included in a model, how can
> I
> test the hypothesis that the variance of such effects is 0 ?
>
> Some sort of COVTEST option in Proc MIXED in SAS (sorry, SAS is
> still
> more familar to me than R).
>
> --
>
> ----------------------------------------------
> Alfonso M. Sanchez-Lafuente
> Departamento de Biologia Vegetal y Ecologia
> Facultad de Biologia
> Universidad de Sevilla
> Avd. Reina Mercedes 9
> E-41012, Sevilla, Spain
> email: alfonso at slafuente.net / slafuente at us.es
>
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