optim() optimx package minpackLM package and several others
JN On 09/15/2011 06:00 AM, r-help-requ...@r-project.org wrote: > Message: 77 > Date: Wed, 14 Sep 2011 20:44:16 +0100 > From: Liam Brown <jackblake1...@googlemail.com> > To: r-help@r-project.org > Subject: [R] Nonlinear Regression > Message-ID: > <CA+MHRQ=L4vnWAgCFKC=a+0r0r740tnsw1qu2bowpru9cz9t...@mail.gmail.com> > Content-Type: text/plain; charset=ISO-8859-1 > > I'm wondering what packages exist to implement nonlinear least squares > regression in R other than 'nls'. Are there packages which implement > methods to estimate the optimum values of the parameters which do not > use the Gauss-Newton algorithm e.g. use Nelder Mead. In particular, > I'd be interested where this is done where the methods of the plinear > algorithm are also used (the initial step using the projection > matrix). If these don't exist why is the Gauss-Newton algorithm > considered sufficient? > > Also can I implement the Levenberg Marquadt algorithm in nls? > > Regards > Liam > ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
