I've been using the randomForest package and getting very useful  
results for some time now.

I have a question pertaining to variable interactions. Since, unlike  
CART, no single tree representative of the solution is available, I  
was wondering if there was some way of discerning / identifying  
potential interactions in the data. I'll sometimes produce 2-way  
partial dependence plots but I select variables for these plots  
somewhat arbitrarily (i.e. without prior suggestion of interaction).

On Breimans’ website he mentions an experimental approach to identify  
interactions. I know this has come up before, a couple years ago, and  
Andy Liaw noted it was not implemented in part due to its experimental  
nature.

I was wondering if anyone had a suggestion for detecting interactions  
using the randomForest package (In an analogous manner to Breimans'  
suggestion or another approach).

Many Thanks,
Joe Retzer


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