More specifically, it is nnet package. Best
2009/4/18 Tobias Verbeke <tobias.verb...@telenet.be>: > Hi Lars, > >> I'd like to ask your guidance regarding the following two questions: (i) I >> just finished reading Chris Bishop's book "Neural Networks for Pattern >> Recognition". Although the book gave me good theoretical foundation about >> NN, I'm now looking for something more practical regarding architecture >> selection strategies. Is there any good reference about "best practices" >> for >> architecure selection? (ii) Which R package provides a good implementation >> of NN? > > The CRAN Task View on Machine Learning > > http://cran.r-project.org/web/views/MachineLearning.html > > opens with the following topical item: > > o Neural Networks : Single-hidden-layer neural network are implemented > in package nnet as part of the VR bundle (shipped with base R). > > HTH, > Tobias > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > -- HUANG Ronggui, Wincent PhD Candidate Dept of Public and Social Administration City University of Hong Kong Home page: http://asrr.r-forge.r-project.org/rghuang.html ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
