Hello
I am trying to determine least-squares estimates of the parameters of a
nonlinear model, where I expect some parameters to remain constant across
experiments, and for others to vary. I believe this is typically referred
to as global curve fitting, or the presence of shared/nested parameters.
The "[]" syntax in the stats::nls() function is an extremely convenient
solution (
https://r.789695.n4.nabble.com/How-to-do-global-curve-fitting-in-R-td4712052.html),
but in my case I seem to need the Levenberg-Marquardt/Marquardt solvers
such as nlsr::nlxb() and minpack.lm::nlsLM. I can not find any
examples/documentation explaining a similar syntax for these tools. Is
anyone aware of a nls-like tool with this functionality, or an alternative
approach?
Best wishes
James Wagstaff
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