[R] lmer4 and variable selection

2008-08-25 Thread Andreas Nord
Dear list, I am currently working with a rather large data set on body temperature regulation in wintering birds. My original model contains quite a few dependent variables, but I do not (of course) wish to keep them all in my final model. I've fitted the following model to the data:

Re: [R] lmer4 and variable selection

2008-08-25 Thread jebyrnes
Have you thought about using AIC weights? As long as you are not considering models where you drop your random effects, calculating AIC values (or AICc values) and doing multimodel inference is one way to approach your problem. If you are fitting models with and without random effects, it gets

Re: [R] lmer4 and variable selection

2008-08-25 Thread Bert Gunter
movies (used to) say: just a friendly warning ... :) -- Bert Gunter Genentech - Original Message- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Andreas Nord Sent: Monday, August 25, 2008 9:22 AM To: r-help@r-project.org Subject: [R] lmer4 and variable selection Dear

Re: [R] lmer4 and variable selection

2008-08-25 Thread Prof Brian Ripley
On Mon, 25 Aug 2008, jebyrnes wrote: Have you thought about using AIC weights? As long as you are not considering models where you drop your random effects, calculating AIC values (or AICc values) and doing multimodel inference is one way to approach your problem. If you are fitting models

Re: [R] lmer4 and variable selection

2008-08-25 Thread Andreas Nord
] [mailto:[EMAIL PROTECTED] On Behalf Of Andreas Nord Sent: Monday, August 25, 2008 9:22 AM To: r-help@r-project.org Subject: [R] lmer4 and variable selection Dear list, I am currently working with a rather large data set on body temperature regulation in wintering birds. My original model