Is there any criteria to compare different models?

Per the posting guide linked below (have you read it??):

"*Questions about statistics:* The R mailing lists are primarily intended
for questions and discussion about the R software. However, questions about
statistical methodology are sometimes posted. If the question is well-asked
and of interest to someone on the list, it *may* elicit an informative
up-to-date answer. See also the Usenet groups sci.stat.consult (applied
statistics and consulting) and sci.stat.math (mathematical stat and
probability).*"*

So don't be surprised if you don't receive any response.

You might also try posting at stats.stackexchange.com. No guarantees there
either.


Bert Gunter

"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )

Hi,

I am trying to make comparison between the lm, gam(mgcv) and lme(nlme)
models. The problem is I am not able to find a single criterion on which
these 3 models are comparable.

I am using method "ML" for both gam and lme, yet the AIC and BIC formulas
differ due to the degrees of freedom.

Is there any statistical way to compare these three models?

I will really appreciate your help.

Thanks
Saman Zahid

        [[alternative HTML version deleted]]

______________________________________________
R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
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.