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 ) On Thu, Dec 3, 2020 at 8:09 PM Saman Zahid <samanzahi...@gmail.com> wrote: > 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@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. > [[alternative HTML version deleted]] ______________________________________________ R-help@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.
