Hi Lizzie,

I am not aware of a package that can do that, but I would like to recommend
a recent paper by Burnham, Anderson, and Huyvaert in Behavioral Ecology and
Sociobiology (2011): AIC model selection and multimodel inference in
behavioral ecology: some background, observations, and comparisons.

The authors, two of whom have really pushed forward the use of information
theoretic methods in ecology, explicitly do not recommend the use of
stepwise model selection. It is probably best to define your models
beforehand for comparisons.

Best,

Caitlin


On Fri, Apr 26, 2013 at 1:14 PM, Elisabeth Condon <cond0148@d.umn.edu>wrote:

> Hello all--
>
> I am looking for an R package that will run all possible model selection
> using a stepwise procedure (preferably using AIC or AICc) without me having
> to specify models. The number of possible models I am look at is at minimum
> 1,000. If the order in which I enter the variables matter, I'm looking at a
> lot more than that. I have found R packages that can do this (such at
> glmulti), but I have a repeated measures design and so far I haven't found
> an R package that can incorporate repeated measures.
>
> If it helps to know a bit more about my repeated measures design...I
> conducted wildlife surveys at 30 sites over the course of one season. I
> revisited each site multiple times, which is where my repeated measures
> come from.
>
> If anyone is aware of an R package that accomplish this task, please let me
> know. Thanks for your time.
>
> Best
> Lizzie
>
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>


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Entomology Department
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