[R-sig-ME] Any package for best subset selection for random effects model

[Thackeray, Stephen J.]

Hello Tao,

>From your question, I am unsure of quite what you want. If you are interested in determining from a global model (with all fixed effects included) the model(s) with the most optimal subset of these fixed effects then you could try the dredge function in the MuMIn package. This will accept lme and lmer mixed effects models...

All the best

Steve



________________________________________
From: r-sig-mixed-models-bounces at r-project.org [r-sig-mixed-models-bounces at r-project.org] On Behalf Of Tao Zhang [zt020200 at gmail.com]
Sent: 13 February 2012 17:22
To: r-sig-mixed-models at r-project.org
Subject: [R-sig-ME] Any package for best subset selection for random effects    model

 Hi Pros,
      I know leaps() computes the best subset selection for linear model,
and
 the bestglm() computes the best subset selection for generalized linear
 model. Is there any package for best subset selection on random effects
 model, or mixed effects model?

Thank you!

Tao

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