not quite an R package, but one way of taking advantage of R would be to use something like treeplan http://goo.gl/wHsb6 along with RExcel http://goo.gl/ToD77
On Thu, Jun 14, 2012 at 11:34 AM, stefan.d...@gmail.com < stefan.d...@gmail.com> wrote: > Hi Noah, > > I did ask basically the same question about a year ago and there > wasn't anything around > (http://tolstoy.newcastle.edu.au/R/e14/help/11/06/3651.html) > Although I agree that R would be very suitable for this kind of > calculations exist. I guess one reason is that a decision tree is not > really a branch of statistics. The advanced user of a decision tree > will more likely program something in Excel. > If you find something, please let us know. > > Best, > Stefan > > > On Tue, Jun 12, 2012 at 12:28 AM, Noah Silverman <noahsilver...@ucla.edu> > wrote: > > Hello, > > > > I was just assigned to perform a cost effectiveness study in healthcare. > We are studying the cost effectiveness of a proposed diagnostic vs. > current screening procedures. > > > > One of the team members suggest a commercial software package called > "TreeAge Pro". Looking at the description, it appears to be a nice GUI to > some very simple models that could be easily constructed in R. > > > > Are there any packages in R for this type of analysis? > > Additionally, does anyone have any suggestions in general regarding > doing this type of analysis in R? > > > > Thank You, > > > > -- > > Noah Silverman > > UCLA Department of Statistics > > 8117 Math Sciences Building > > Los Angeles, CA 90095 > > > > > > [[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. > > ______________________________________________ > 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. > [[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.
