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
O course! And for the same reason, my stupid comment should be ignored.
-- Bert
On Thu, 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
>>
> 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:
>
Inline.
On Wed, Aug 22, 2012 at 5:17 PM, Jeremy Miles wrote:
> It's fine. Just interpret them as you would any other (lower is better).
>
I don't think so. I believe all 3 values are the negative of what they
should be. AIC is defined as -2*log(L) + k*{degrees of freedom for
model) . BIC is sim
On Aug 22, 2012, at 5:17 PM, Jeremy Miles 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.
--
David.
On 22 August 2012 16:43, Gary Dong wrote:
Dear R users,
It's fine. Just interpret them as you would any other (lower is better).
On 22 August 2012 16:43, Gary Dong 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
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
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