I read this very brief chapter, and don't see how this would address the issues I raise. Can you provide any further hints? Sorry, I may be missing something obvious.
-- DC On Fri, Aug 29, 2008 at 4:07 AM, Dieter Menne <[EMAIL PROTECTED]>wrote: > D Chaws <cat.dev.urandom <at> gmail.com> writes: > > > Say, for instance you want to model growth in pituitary distance as a > > function of age in the Orthodont dataset. > > > > fm1 = lme(distance ~ I(age-8), random = ~ 1 + I(age-8) | Subject, data = > > Orthodont) > > > > You notice that there is substantial variability in the intercepts > (initial > > distance) for people at 8 years, and that > > this variability in initial distance is related to growth over time: > > Looks like a perfect example to use parameter weight=varPower(something) > in > lme; you could use some power function of the initial distance. See Chapter > 5.2 > in Pinheiro-Bates. > > Dieter > > ______________________________________________ > 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. > [[alternative HTML version deleted]] ______________________________________________ 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.
