On Wed, 27 Aug 2008, David Cobey wrote:
Quick disclaimer: I'm new to the list and I'm not sure if I'm sending this
to the correct forum. If there is a better place for this questions, please
let me know!
Dear R List,
I'm interested in modifying a regression tree algorithm to use the
difference between a control and a dosed sample as its dependent variable.
I was wondering if anyone knew where I could find code to implement a basic
chaid algorithm. Is it possible to access the code inside of R? Is there
another place I can find the basic algorithm already coded.
I'd prefer a chaid-like algorithm over a c&rt like algorithm, as my
sample is small. I'm a reasonably good programmer, a background in C++ and
experience in many different languages.
I'd very much appreciate any thoughts.
ctree() in package "party" implements in inference-based tree algorithm.
It's based on conditional inference, but not unsimilar to CHAID in the
case of categorical variables. See its references and vignette for more
details.
Torsten and I are also working on some basic tree infrastructure which
could/should eventually also be used for implementing classical CHAID but
that will take some more time.
hth,
Z
Thank you!
David Cobey
PS. Of course, if this has been done before, I'd be very grateful for the
opportunity to save myself the trouble of reprogramming it myself!
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