> It's fine. Just interpret them as you would any other (lower is better). >> >> > And it is the printed logLik that is out of step here. log-likelihoods > _should_ be negative. >
That is not quite the case; in models with small variances log-likelihoods can easily become positive, consider eg: > dnorm(0,0,0.1,log=T) [1] 1.383647 hth, Ingmar > -- > David. > > >> On 22 August 2012 16:43, Gary Dong <pdxgary...@gmail.com> wrote: >> >>> Dear R users, >>> >>> I obtained negative AIC and BIC and positive Loglik values in a gls >>> model. >>> Is this normal? how should I interpret them? Thanks! >>> >>> AIC BIC logLik >>> -659.978 -587.5541 345.989 >>> >>> Best >>> Gary >>> >> > > David Winsemius, MD > Alameda, CA, USA > > > ______________________________**________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/**listinfo/r-help<https://stat.ethz.ch/mailman/listinfo/r-help> > PLEASE do read the posting guide http://www.R-project.org/** > posting-guide.html <http://www.R-project.org/posting-guide.html> > and provide commented, minimal, self-contained, reproducible code. > [[alternative HTML version deleted]] ______________________________________________ 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.
