"follow-on" is one of the main reasons I stopped work on optimx and refactored
to optimr/optimrx, where I
separated this functionality into the polyopt() function. optimr has just a few
solvers, while optimrx is used to
add them as I get round to doing it, but it's on R-forge. Mainly a matter of
Hi,
I would like to know if some of you have a solution for this problem:
I use optimx (from package optimx) to fit the parameters of a model
(complex model based on several imbricated exponential functions).
I use the two methods : method = c("Nelder-Mead", "BFGS") with the options:
control
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