Your question is too vague. Do you want to fit functions of one variable, or several variables? Do you need the function to have explicit form, or would you be happy with sort of `black box'?
R itself has facilities to fit smooth functions of one variable (e.g., smooth.spline(), loess(), etc.) Many packages can fit smooth functions of several variables (e.g., mgcv, locfit, mda, gss, nnet [part of the VR bundle], rpart, tree, or even gbm and randomForest). Andy From: Young-Jin Lee > > Dear R lister > > Could any one tell me what R package I can use to fit data > into an arbitrary nonlinear function and to test how good a > resulting fit is? > > Thanks in advance. > > Young-Jin Lee > > ______________________________________________ > [email protected] mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! > http://www.R-project.org/posting-guide.html > > ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
