Re: [R] Nonliner Rgression using Neural Nnetworks
On 11 Jul 2003 at 18:56, Yukihiro Ishii wrote: > Hi, > I am an old hand at chemistry but a complete beginner at statistics > including R computations. > My question is whether you can carry out nonlinear > multivariate regression analysis in R using neural networks, where the > output variable can range from -Inf to + Inf., unlike discriminant > analysis where the output is confined to one or zero. The library nnet > seems to work only in the latter case but then I could be wrong. You are wrong. nnet can be used to predict a continous variable, for instance by setting the arguments linout=TRUE. For ways to set different types of networks, see ?nnet ans especially the arguments linout entropy softmax censored Kjetil Halvorsen > > Please help me there. > > Thanks in advance. > > Y.Ishii <[EMAIL PROTECTED]> > 2-3-28 $B!! (BTsurumaki-minami, Hadano > 257-0002 Japan > > __ > [EMAIL PROTECTED] mailing list > https://www.stat.math.ethz.ch/mailman/listinfo/r-help __ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
Re: [R] Nonliner Rgression using Neural Nnetworks
On Fri, 11 Jul 2003 18:56:58 +0900 Yukihiro Ishii <[EMAIL PROTECTED]> wrote: > Hi, > I am an old hand at chemistry but a complete beginner at statistics > including R computations. > My question is whether you can carry out nonlinear > multivariate regression analysis in R using neural networks, where the > output variable can range from -Inf to + Inf., unlike discriminant > analysis where the output is confined to one or zero. The library nnet > seems to work only in the latter case but then I could be wrong. > > Please help me there. > > Thanks in advance. > > Y.Ishii <[EMAIL PROTECTED]> > 257-0002 Japan You might want to look at the paper at http://brain.cs.unr.edu/publications/goodman.ann_advantages.jasa99.pdf The work was done using a nice standalone neural net program Nevprop by Goodman and colleagues, which is intended for binary outcomes and incorporates bootstrapping for estimating predictive accuracy of the network. You may obtain Nevprop at http://brain.cs.unr.edu --- Frank E Harrell Jr Prof. of Biostatistics & Statistics Div. of Biostatistics & Epidem. Dept. of Health Evaluation Sciences U. Virginia School of Medicine http://hesweb1.med.virginia.edu/biostat __ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
