[R] Decision Trees /Decision Analysis with R?

[Jonathan Daily]

See packages rpart, randomForest, party.

Also, typing "R Decision Trees" produced good google results.

http://www.google.com/search?aq=f&sourceid=chrome&ie=UTF-8&q=R+Decision+Trees

On Wed, Jun 8, 2011 at 7:02 AM, stefan.duke at gmail.com
<stefan.duke at gmail.com> wrote:
> Hello,
>
> this question is a bit out of the blue.
>
> I am a big R fan and user and in my new job I do some decision
> modeling (mostly health economics). For that decision trees are often
> used (I guess the most classic example is the investment decision A,
> B, and C with different probabilities, what is the expected payoff).
> We use a specialized software called TreeAge that some might know.
> The basic setup of such simulations is actually very simple and I
> guess useful in many fields. So I was wondering whether there is
> already a package out there in R that is doing such a thing?
>
> Thanks for any hints!
> Best,
> Stefan
>
> PS
> (By decision tree I don't mean cluster-like analysis of a data set
> splitting by identifying decision nods, but the other way around: I
> have decision nodes, what is my expected outcome.)
>
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> and provide commented, minimal, self-contained, reproducible code.
>



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Jon Daily
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