Marc Girondot u-psud.fr> writes:
>
> We would like to fit parameters using a simulation with stochastic
> processes as theoretical values. We generate a simple exemple with nls.lm
> to see the logic and the problem:
>
Example removed
...
> pStart <- list(a=0.1)
> #non-linear fit
> library(min
We would like to fit parameters using a simulation with stochastic
processes as theoretical values. We generate a simple exemple with nls.lm
to see the logic and the problem:
First without stochasticity (it is a dummy example, the fited value is
simple the mean of a set of 10 numbers):
#Ten numbe
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