
On Aug 23, 2012, at 12:02 AM, Ingmar Visser wrote:

>
> 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
>

We must be using different definitions of likelihood. (I do understand  
that densities can be greater than one when the domain is restricted.)

-- 
David.

> hth, Ingmar
>
>
> -- 
> David.
>
>
> On 22 August 2012 16:43, Gary Dong <pdxgary163@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
>
>
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>

David Winsemius, MD
Alameda, CA, USA


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