On Mar 17, 2011; 04:29pm Thierry Onkelinx wrote: >> You cannot compare lm() with lme() because the likelihoods are not the >> same. Use gls() instead of lm()
Hi Thierry, Of course, I stand subject to correction, but unless something dramatic has changed, you can. gls() can be used if you need to accommodate a correlation structure. The method I have outlined, i.e. anova(lme$obj, lm$obj), is detailed in Pinheiro & Bates (2000) beginning page 154. Please refer to this if you doubt me. Regards, Mark. -- View this message in context: http://r.789695.n4.nabble.com/lmm-WITHOUT-random-factor-lme4-tp3384054p3384802.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
