Dear Colleagues,
I am trying to estimate several non-linear models simultaneously. I don't
want to use non-linear mixed model, but non-linear model with same form, but
it should be estimated separately according to variable group (I have lots
of groups that have lots of observations....). I would like to have unique
parameters for each group.
e.g. something like this
mod <- nls(y ~ a*x^b, start=c(a=1, b=1), group=group)
but knowing that group option does not work. If someone has an idea (or has
done it already) how to implement this either using just nls statement or by
building a simple function in R, I would be very grateful for hints....
regards, Aleksi Lehtonen
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