.. and do not forget that the real power comes from using nlme after
nlsList; i.e. on the result of nlsList, even if some did not converge! The
effect of taming outliers can be amazing.
See Pinheiro/Bates or
http://www.menne-biomed.de/gastempt/index.html
Dieter
From: Steve Oswald [
Thanks Dieter
That solved the issue. I had negative parameters but I customized a selfStart
function which contained the following lines for the optimization of my five
parameter function (entered in the vector 'value'):
#function to optimize
func1 <- function( value) {
A = value[1]
k =
Steve Oswald wrote:
>
> I'm analysing growth rates using a gompertz (logistic) curve and am
> attempting
> to fit parameters for all of my study birds using nlsList.
>
> I've been looking for an option in nlsList to set min and max limits for
> parameter values during estimation, although I hav
Hi All
I'm analysing growth rates using a gompertz (logistic) curve and am attempting
to fit parameters for all of my study birds using nlsList.
I've been looking for an option in nlsList to set min and max limits for
parameter values during estimation, although I have failed to find any u
Hi All
I'm analysing growth rates using a gompertz (logistic) curve and am attempting
to fit parameters for all of my study birds using nlsList.
I've been looking for an option in nlsList to set min and max limits for
parameter values during estimation, although I have failed to find any unde
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