search for: nl2sol

...specifying the algorithm to use. The default algorithm is a Gauss-Newton algorithm. Other possible values are '"plinear"' for the Golub-Pereyra algorithm for partially linear least-squares models and '"port"' for the 'nl2sol' algorithm from the Port package. The simple question is: where's the Port package? I can't find it on cran. Thanks, Jos

...real-world problems in which LM performs better than GN. I have been seeing such problems recently in some applications where GN as implemented in 'nls' reduces the step to a very small value, resulting in little change in the residual sum of squares from the starting values, whereas both NL2SOL applied via 'nls' called with 'algorithm="port"' or LM as implemented in 'minpack.lm::nls.lm' significantly reduce the RSS. The implementation of NL2SOL is slower by a significant factor on these problems as compared to either the GN or LM implementations, making...

...real-world problems in which LM performs better than GN. I have been seeing such problems recently in some applications where GN as implemented in 'nls' reduces the step to a very small value, resulting in little change in the residual sum of squares from the starting values, whereas both NL2SOL applied via 'nls' called with 'algorithm="port"' or LM as implemented in 'minpack.lm::nls.lm' significantly reduce the RSS. The implementation of NL2SOL is slower by a significant factor on these problems as compared to either the GN or LM implementations, making...

Dear all, I would like to use the Levenberg-Marquardt algorithm for non-linear least-squares regression using function nls.lm. Can anybody help me to find a a way to compute confidence intervals on the fitted parameters as it is possible for nls (using confint.nls, which does not work for nls.lm)? Thank you for your help Michael

...rms nonlinear least squares. The problem is that I do not want to implement the Gauss-Newton algorithm. In the worst case I would be contented with the "Levenberg-Marquardt" algorithm, if it is implemented in R. R nls's documentation mentions the "port" package and the ?nl2sol? algorithm, but I could not find that package in the CRAN repository, so that I could read and judge whether that algorithm would be appropriate. Thank you very much in advance. I am looking forward to your answer. Regards, Martin -----------------------------------------------------------------...

Hello! I am running R-2.3.1-i386-1 on Slackware Linux 10.2. I am a former matlab user, moving to R. In matlab, via the cftool, I performed nonlinear curve fitting using the method "nonlinear least squares" with the "Trust-Region" algorithm and not using robust fitting. Is it possible to perform the same analysis in R? I read quite a lot of R documentation, but I could not find

Hi All, Is the Levenberg-Marquardt algorithm available in R. This method combines the steepest descent algorithm and Newton's method. Thanks in Advance, Dermot MacSweeney. ************************************************************** Dermot MacSweeney NMRC, Email: dsweeney at nmrc.ucc.ie Lee Maltings, Tel: +353 21 904178 Prospect Row, Fax: +353 21 270271 Cork, WWW:

...o unlabelled entries. o methods() now warns if it appears to have been called on a non-generic function. o The default mosaicplot() method by default draws grey boxes. o nlminb(), similar to that in S-PLUS, added to package 'stats'. o New algorithm "port" (the nl2sol algorithm available in the Port library on netlib) added to the nls() function in the 'stats' package. o object.size() now supports more types, including external pointers and weak references. o options() now returns its result in alphabetical order, and is documented more com...

...o unlabelled entries. o methods() now warns if it appears to have been called on a non-generic function. o The default mosaicplot() method by default draws grey boxes. o nlminb(), similar to that in S-PLUS, added to package 'stats'. o New algorithm "port" (the nl2sol algorithm available in the Port library on netlib) added to the nls() function in the 'stats' package. o object.size() now supports more types, including external pointers and weak references. o options() now returns its result in alphabetical order, and is documented more com...