[R-sig-ME] Model comparison using BIC, AIC, -2Log

Luis Orlindo Tedeschi luis.tedeschi at gmail.com
Fri Jul 4 15:23:35 CEST 2008

Thanks Mike... and I thought it would have a single answer... I glanced
over the link you provided; it will take me some time to digest it. My
current problem is comparing a model with variable A as random effect vs
a model with variable A as fixed effect. It gets vary confusing. Thanks
again. Luis

On Fri, 2008-07-04 at 09:28 +0100, Mike Dunbar wrote:
> Dear Luis
> It is not necessarily straightforward but there is alot of information out there that can help you. Take a look at http://wiki.r-project.org/rwiki/doku.php?id=guides:lmer-tests and also look through the archives of this list, e.g. the thread entitled "[R-sig-ME] interpreting significance from lmer results for dummies (like me)"
> regards
> Mike
> >>> Luis Orlindo Tedeschi <luis.tedeschi at gmail.com> 03/07/2008 22:23 >>>
> Folks; I have a quick question about model comparison. Is it ok to use
> BIC/AIC/-2log to compare models with different fixed and random effects
> and even different var-(co)var structure? How can I accomplish this
> using R? Will Anova do the correct comparison of different models?
> Thanks in advance. Luis
> -- 
> Luis Orlindo Tedeschi <luis.tedeschi at gmail.com>
> _______________________________________________
> R-sig-mixed-models at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models

              Luis O. Tedeschi, PhD, PAS
                 Assistant Professor
                 Texas A&M University

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