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.
