Decision Trees /Decision Analysis with R?
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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