[Rd] an Update on the "Woods" package--classification and constrained L1 regression for binary response

From: Izmirlian, Grant (NIH/NCI) [E] <izmirlig_at_mail.nih.gov>
Date: Fri 09 Dec 2005 - 20:14:13 GMT


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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https://stat.ethz.ch/mailman/listinfo/r-devel Received on Sat Dec 10 07:17:36 2005

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