R help - Jul 2012 - Simple tree

Hi,

I'm looking for an "easy" way to setup a decision tree.

This is *not* any kind of regression, but a very simple DAG with probability on
each edge and a value at each node.  I just need a way to input the graph and
calculate the expected value at each end node.  The whole thing could be done
with a calculator and pencil, but it would be nice to have everything in R.

I can't seem to find a package for this.  Any suggestions?




--
Noah Silverman, M.S.
UCLA Department of Statistics
8117 Math Sciences Building
Los Angeles, CA 90095


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On Wed, Jul 18, 2012 at 06:34:49PM -0700, Noah Silverman
wrote:
> Hi,
> 
> I'm looking for an "easy" way to setup a decision tree.
> 
> This is *not* any kind of regression, but a very simple DAG with
probability on each edge and a value at each node.  I just need a way to input
the graph and calculate the expected value at each end node.  The whole thing
could be done with a calculator and pencil, but it would be nice to have
everything in R.
Hi.

Is the graph a tree or a general DAG?

If i understand correctly, there is a single input node, where the
process starts and in each non-end node, the process continues at a
randomly chosen out-going edge with the specified probabilities.
What is the output, if the process goes through a sequence of nodes,
which are assigned the values w_0, ..., w_n? Here, w_0 is the value
of the start node and w_n the value of an end-node.

Petr Savicky.