Thanks a lot, I will check that. Jim
--- On Mon, 5/3/12, Angelo Canty <ca...@math.mcmaster.ca> wrote: > From: Angelo Canty <ca...@math.mcmaster.ca> > Subject: Re: [R] 632 estimator using boot package > To: r-help@r-project.org > Date: Monday, 5 March, 2012, 18:19 > There is an example of calculating > the 0.632 prediction error estimator in Chapter 6 of Davison > & Hinkley (Practical 6.5) > > I'm not sure what you mean by leave-one-out bootstrapping. > If you actually mean the jackknife then look at the empinf > function. If you mean subsampling, this can be implemented > using type="parametric" and supplying your own function > which takes the data and returns a bootstrap sample. > > Angelo Canty > > Jin Minming wrote: > > Dear All, > > > > Anyone has some idea how to implement 632 estimator and > leave-one out bootstraping method by using boot > package. I know the bootstrap package has this > function, but it sounds not very flexible for my project. > > Thanks, > > > > Jim > > > > ______________________________________________ > > 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. > > > > > -- > ------------------------------------------------------------------ > | Angelo J. Canty > Email: can...@mcmaster.ca > | > | Mathematics and Statistics > Phone: (905) 525-9140 x 27079 | > | McMaster University > Fax : (905) 522-0935 > | > | 1280 Main St. W. > > > | > | Hamilton ON L8S 4K1 > > > | > > ______________________________________________ > 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. > ______________________________________________ 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.
