[R] Nonlinear Regression

[John C Nash]

optim()
optimx package
minpackLM package

and several others

JN

On 09/15/2011 06:00 AM, r-help-request at r-project.org wrote:
> Message: 77
> Date: Wed, 14 Sep 2011 20:44:16 +0100
> From: Liam Brown <jackblake1930 at googlemail.com>
> To: r-help at r-project.org
> Subject: [R] Nonlinear Regression
> Message-ID:
> 	<CA+MHRQ=L4vnWAgCFKC=a+0R0r740tnsW1qu2BowPrU9CZ9TwmQ at 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
>