The packages is wle. I'll put together some code that shows the behavior I'm talking about, and send it to the list.
Alexandra On Thu, 2011-06-23 at 13:51 +0200, Rubén Roa wrote: > I don't find the mle.aic function. Thus it does not ship with R and it's in > some contributed package. > What package is that? > If you had asked for help providing minimal, self-contained, reproducible > code, you'd have realized that you need to tell people what package you are > using. > > ___________________________________________________________________________________ > > > Dr. Rubén Roa-Ureta > AZTI - Tecnalia / Marine Research Unit > Txatxarramendi Ugartea z/g > 48395 Sukarrieta (Bizkaia) > SPAIN > > > > > -----Mensaje original----- > > De: r-help-boun...@r-project.org > > [mailto:r-help-boun...@r-project.org] En nombre de Alexandra Thorn > > Enviado el: miércoles, 22 de junio de 2011 22:38 > > Para: r-help@r-project.org > > Asunto: [R] AIC() vs. mle.aic() vs. step()? > > > > I know this a newbie question, but I've only just started > > using AIC for model comparison and after a bunch of different > > keyword searches I've failed to find a page laying out what > > the differences are between the AIC scores assigned by AIC() > > and mle.aic() using default settings. > > > > I started by using mle.aic() to find the best submodels, but > > then I wanted to also be able to make comparisons with a > > couple of submodels that were nowhere near the top, so I > > started calculating AIC values using AIC(). What I found was > > that not only the scores, but also the ranking of the models > > was different. I'm not sure if this has to do with the fact > > that mle.aic() scores are based on the full model, or some > > sort of difference in penalties, or something else. > > > > Could anybody enlighten me as to the differences between > > these functions, or how I can use the same scoring system to > > find the best models and also compare to far inferior models? > > > > Failing that, could someone point me to an appropriate > > resource that might help me understand? > > > > 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.