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
<dieter.menne@menne-biomed.de>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
>
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