[R] removing random effect from nlme or using varPower() in nls
kingsfordjones at gmail.com
Fri Oct 23 02:09:56 CEST 2009
On Thu, Oct 22, 2009 at 4:36 PM, Michael A. Gilchrist <mikeg at utk.edu> wrote:
> I've been fitting a random effects model using nlme to some data, but I am
> discovering that the variation in my random effect is very small. As a
> result, I would like to replace it as a fixed effect (i.e. essentially fit
> the same model but with no random effect).
> As I understand it I could do this using nls(), but I'm using a number of
> options such as weights = varPower() which I am at a loss on how to
> implement in that framework.
> Is there a way to use nlme but with out a random effect? (a bit absurd, I
> realize, but I have the syntax working...)
> Alternatively, is there a way to use "weights = varPower()" with nls?
> Any help would be appreciated.
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> and provide commented, minimal, self-contained, reproducible code.
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