I think you can do this very efficiently with AD Model Builder's
random effects module. The software is now freely available at
http://admb-project.org
If you want, you can contact me directly to discuss the model.
Dave
--
David A. Fournier
P.O. Box 2040,
Sidney, B.C. V8l 3S3
Canada
Pho
Douglas Bates stat.wisc.edu> writes:
> > 3) Use lmer in lme4. Your mileage may vary, I could not find a speedup
> > for my problems, but larger problem might give one.
>
> Did you mean nlmer in the lme4 package? If so, it may be worthwhile
> trying the development branch but that is not somet
Douglas Bates stat.wisc.edu> writes:
> > 3) Use lmer in lme4. Your mileage may vary, I could not find a speedup
> > for my problems, but larger problem might give one.
>
> Did you mean nlmer in the lme4 package? If so, it may be worthwhile
> trying the development branch but that is not somet
On Mon, Mar 9, 2009 at 12:13 PM, Dieter Menne
wrote:
> jakub kreisinger seznam.cz> writes:
>
>> I am trying to analyze growth data on mice. To do this I attempted to fit
> logistic curve using nlme package.
>> However, the dataset I use is large (in total ca 20 000 measures on ca 3 000
> individu
Dieter Menne menne-biomed.de> writes:
> 4) Use C for the core function. This is very effective, and there is at least
>on example coming with nlme (was it SSlogist?).
I correct: it is phenoModel, calling nlme_one_comp_first in nlme.c
Dieter
__
R-
jakub kreisinger seznam.cz> writes:
> I am trying to analyze growth data on mice. To do this I attempted to fit
logistic curve using nlme package.
> However, the dataset I use is large (in total ca 20 000 measures on ca 3 000
individuals) with relatively
> complicated structure (several explanato
Dear colegues
I am trying to analyze growth data on mice. To do this I attempted to fit
logistic curve using nlme package. However, the dataset I use is large (in
total ca 20 000 measures on ca 3 000 individuals) with relatively complicated
structure (several explanatory variables with interact
Dear colegues
I am trying to analyze growth data on mice. To do this I attempted to fit
logistic curve using nlme package. However, the dataset I use is large (in
total ca 20 000 measures on ca 3 000 individuals) with relatively complicated
structure (several explanatory variables with interact
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