Dear All, In doing some fittings I tried several R packages and, for my specific problem, I get good results with the minpack.lm library, which implements the Levenberg-Marquardt (LM) algorithm for nonlinear least-square optimization. However, the nls.lm package does not allow the user to set any constrain (and I would need mainly some linear constrains) on the fitting parameters. Do you know about any package in R implementing constrains in LM? Unfortunately, nls did not work very well with my set of data. Cheers Lorenzo
Levenberg-Marquardt
2 messages · Lorenzo Isella, Dirk Eddelbuettel
On 21 May 2006 at 02:10, Lorenzo Isella wrote:
| Dear All,
| In doing some fittings I tried several R packages and, for my specific
| problem, I get good results with the minpack.lm library, which
| implements the Levenberg-Marquardt (LM) algorithm for nonlinear
| least-square optimization.
| However, the nls.lm package does not allow the user to set any constrain
| (and I would need mainly some linear constrains) on the fitting
| parameters.
| Do you know about any package in R implementing constrains in LM?
| Unfortunately, nls did not work very well with my set of data.
I continue to be surprised by your apparent lack of success when it comes to
finding the already supplied documentation. Try
> ?optim
> help.search("optimization")
optim() may well be your friend here as it implements several algorithms
including box-constrained optimization.
Also, and now with my listmaster head on, allow me to remind you that this
list is meant to finance-related matters. Neither this post, nor your
preceding, and repeated, posts about multi-modal density estimation are
concerned with finance per se.
Therefore, I would suggest that you send those questions to r-help instead.
Thanks, Dirk
Hell, there are no rules here - we're trying to accomplish something.
-- Thomas A. Edison