On 2 July 2013 15:34, Achim Zeileis <achim.zeil...@uibk.ac.at> wrote:
> On Tue, 2 Jul 2013, Vicent Giner-Bosch wrote: > > I am interested in applying a "classification tree" analysis where the >> response variable is a censored variable (survival data). >> >> I've discovered the package 'party' through this page: >> http://www.statmethods.net/**advstats/cart.html<http://www.statmethods.net/advstats/cart.html>. >> However, as my sample is not >> very big I would like to apply 'bootstrap' and use 'random forests', but >> with my censored response variable. >> >> Are there any packages for that?? >> > > cforest() in the same package. See citation("party") for the corresponding > references. > > Best, > Z Thank you for the reference! I've also found a package called "randomSurvivalForest", that is mentioned in "A review of survival trees" by Imad Bou-Hamad (doi:10.1214/09-SS047). I don't know how to chose "the right package", if any. I am new to R. How do you usually asses whether a package is good and reliable enough or not?? Thank you in advance. -- vicent [[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.
