[R] Genetic Algorithms with rbga.bin using AIC as the evalFunc

From: Bob Farmer <rfarmer_at_uoguelph.ca>
Date: Fri 09 Dec 2005 - 08:58:20 EST

Hi all.
I would like to use the rbga.bin function (from the "genalg" package) as part of a model selection process to whittle down a list of ~40 potential explanatory variables to only the most important ones.

Unfortunately, despite my working knowledge of R for linear modeling and basic statistics, I cannot understand the two examples provided with the documentation for rbga.bin
(http://finzi.psych.upenn.edu/R/library/genalg/html/rbga.bin.html). What's particularly confusing is that I can't see how the evaluation function (evalFunc) can vary with each iteration of the rbga.bin.

Can anybody help me design a command that incorporates the AIC() value of a linear model (where the inclusion of selected variables in the model is dependent on the current iteration of the rbga.bin function) as the evalFunc? Otherwise, is there any additional documentation that would help me understand the provided examples? It's been slow going trying to dig through the help() function and various introductory references for what is very convoluted syntax.

--Bob Farmer
MSc. candidate
Department of Integrative Biology
University of Guelph
Guelph, Ontario, Canada

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