It seems to work!
Thanks and sorry for the personal message
Francisco
On Tue, 17 Apr 2012 09:09:24 +0200, peter dalgaard wrote
> On Apr 17, 2012, at 06:23 , Francisco Mora Ardila wrote:
>
> > Hi
> >
> > I´m trying to fit a nonlinear model to a derivative of the logistic function
> >
> > y = a
Peter Dalgaard has already given some indications. However, nls() is pretty
fragile as a
solver in my experience. I'm in the process of putting some more robust (in the
computing
and not statistical sense) solvers in the nlmrt package on the R-forge project
at
https://r-forge.r-project.org/R/?g
On Tue, Apr 17, 2012 at 12:23 AM, Francisco Mora Ardila
wrote:
> Hi
>
> I´m trying to fit a nonlinear model to a derivative of the logistic function
>
> y = a/(1+exp((b-x)/c)) (this is the parametrization for the SSlogis function
> with nls)
>
> The derivative calculated with D function is:
>
>>
On Apr 17, 2012, at 06:23 , Francisco Mora Ardila wrote:
> Hi
>
> I´m trying to fit a nonlinear model to a derivative of the logistic function
>
> y = a/(1+exp((b-x)/c)) (this is the parametrization for the SSlogis function
> with nls)
>
> The derivative calculated with D function is:
>
>> l
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