Thanks for the suggestion. Those functions only provide part of the functionality I want.
After a great deal more of drawing the internet, I've concluded that the correct answer to my question is dredge() from the package MuMIn. It seems to use the same AIC algorithm as AIC, which is perfect for making comparisons! Thanks again to everybody who's tried to help me out on this! Alexandra On Thu, 2011-06-23 at 21:29 +0200, Jan van der Laan wrote: > Alexandra, > > Have a look at add1 and drop1. > > Regards, > Jan > > > On 06/23/2011 07:32 PM, Alexandra Thorn wrote: > > Here's a more general question following up on the specific question I > > asked earlier: > > > > Can anybody recommend an R command other than mle.aic() (from the wle > > package) that will give back a ranked list of submodels? It seems like > > a pretty basic piece of functionality, but the closest I've been able to > > find is stepAIC(), which as far as I can tell only gives back the best > > submodel, not a ranking of all submodels. > > > > Thanks in advance, > > Alexandra > > > > ______________________________________________ > > R-help@r-project.org mailing list > > https://stat.ethz.ch/mailman/listinfo/r-help > > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > > and provide commented, minimal, self-contained, reproducible code. > ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
