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regsubsets selection criterion

6 messages · Samuel Bertrand, Ingmar Visser, Thomas Lumley +1 more

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the leaps help page says:

cp or adjr2 or r2 is the value of the chosen model selection statistic for
each model

so each of these can be chosen as the selection statistic using the method
argument

hth, ingmar
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On Tue, 27 Sep 2005, Samuel Bertrand wrote:

            
As you get a best model for each size, all the commonly used criteria are 
equivalent. RSS, AIC, BIC, Mallows Cp, adjusted R^2, etc, all give the 
same ordering for models with the same number of predictors.


 	-thomas
2 days later
#
Questions like this are best directed to the package maintainer(s). 
 From help(package="leaps"), I learned that Thomas Lumley is the author 
and maintainer for "leaps";  I'm including him as a 'cc', so he can 
correct or add to my comments if he feels so inclined.

	  After some searching, I learned that "?plot.regsubsets" includes an 
argument scale=c("bic", "Cp", "adjr2", "r2").  From this, I infer that 
you have your choice of these four criteria.

	  hope this helps.
	  spencer graves
Samuel Bertrand wrote:

            

  
    
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On Thu, 29 Sep 2005, Spencer Graves wrote:

            
He has already answered this question when it was originally posted.

 	-thomas

Thomas Lumley			Assoc. Professor, Biostatistics
tlumley at u.washington.edu	University of Washington, Seattle