Hello R-devel:
This is an update on my R package, "woods" that does bagged classification trees
using data structures in C. Most of the comments of my earlier post still
apply, with some additions (noted *)
(i) fits a single classification tree to dataset (R function CT)
(ii) basic functionality of Random Forest, e.g. bagged trees with choices
about sample size, with/without replacement, size of (random) subset
of covariates drawn when nodes are split. Result contains the oob
votes,
and a matrix representing the forest structure.
*(iii) for each element of the sample, discovers all unique paths from a root
node to
a terminal node as a sequence of splits on covariates and uses these to
fit
a lasso regresssion to the binary response using a full
c-implementation of
the Turlach lasso2 function gl1ce.
It is now available at http://mysite.verizon.net/izmirlian/woods_1.00.tar.gz
Grant Izmirlian
NCI
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