[R] removing random effect from nlme or using varPower() in nls

[Michael A. Gilchrist]

Hi Kingsford,

That's exactly what I was looking for!

Thanks.

Mike


On Thu, 22 Oct 2009, Kingsford Jones wrote:

> help(gnls, pack=nlme)
>
>
> hth,
> Kingsford Jones
>
> On Thu, Oct 22, 2009 at 4:36 PM, Michael A. Gilchrist <mikeg at utk.edu> wrote:
>> Hello,
>>
>> 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.
>>
>> Sincerely,
>>
>> Mike
>>
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>>
>