Curve fitting
Generally nlsr package has better reliability in getting parameter estimates because it tries to use automatic derivatives rather than a rather poor numerical estimate, and also uses a Levenberg-Marquardt stabilization of the linearized model. However, nls() can sometimes be a bit more flexible. JN
On 2020-04-05 3:20 p.m., Jeff Newmiller wrote:
err... stats::nls... On April 5, 2020 12:14:15 PM PDT, Jeff Newmiller <jdnewmil at dcn.davis.ca.us> wrote:
stats::nlm? On April 5, 2020 11:53:10 AM PDT, Bernard Comcast <mcgarvey.bernard at comcast.net> wrote:
Any recommendations on an R package to fit data to a nonlinear model Y=f(x) with a single x and y variable? I want to be able to generate parameter uncertainty estimates and prediction uncertainties if possible. Bernard Sent from my iPhone so please excuse the spelling!"
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