Dear Frank, Thanks for your comments. But in my situation, I do not have any future data and I want to calculate Mean Square Error for prediction on future data. So, is it not it a good idea to go for LOO?
thanks Alex On Tue, Feb 24, 2009 at 7:15 PM, Frank E Harrell Jr < f.harr...@vanderbilt.edu> wrote: > Alex Roy wrote: > >> Dear R user, >> I am working with LOO. Can any one who is working >> with leave one out cross validation (LOO) could send me the code? >> >> Thanks in advance >> >> Alex >> >> > I don't think that LOO adequately penalizes for model uncertainty. I > recommend the bootstrap or 50 repeats of 10-fold cross-validation. See for > example the validate and calibrate functions in the R Design package. > > Frank > -- > Frank E Harrell Jr Professor and Chair School of Medicine > Department of Biostatistics Vanderbilt University > [[alternative HTML version deleted]] ______________________________________________ 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.