[R] Curve fitting

J C Nash pro|jcn@@h @end|ng |rom gm@||@com
Sun Apr 5 23:18:46 CEST 2020

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.


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 using dcn.davis.ca.us> wrote:
>> stats::nlm?
>> On April 5, 2020 11:53:10 AM PDT, Bernard Comcast
>> <mcgarvey.bernard using 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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