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.duke@gmail.com <
stefan.duke@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 <noahsilverman@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]]
> >
> > ______________________________________________
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> > 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.
>

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