[R-pkgs] randomSurvivalForest 2.1.0 now available

[K. B. Udaya]

Dear useRs:

Release 2.1.0 of the randomSurvivalForest package is now available.
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CHANGES TO RELEASE 2.1.0

Release 2.1.0 represents a minor upgrade of the product, and will not affect
most users of the prior version of the product.  Key changes are as follows:

o R 2.5.0 compliance issues and necessitated modifications.

o Modification of PMML representation of RSF forest output.  The RSF custom
extension has been moved from the DataDictionary node to a new
MiningBuildTask node.  Note that forests produced with Release 2.0.0 will
have to be regenerated using Release 2.1.0.  We apologize for the
inconvenience.

o Fast processing of data involving large numbers of predictors (as in
many genomic examples) by using the option big.data=TRUE.  This
option bypasses the huge overhead needed by R in creating design
matrices and parsing formula.  However, users should be aware of
some side effects.  See the RSF help file for more details.  Thanks
to Steven (Xi) Chen for pointing out the problem.

o Only the top 100 predictors are now printed to the terminal when
calling plot.error().  This deals with settings as above when one
might have thousands of predictors.

o Introduced a new wrapper "find.interaction()" for testing for
pairwise interactions between predictors.

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ubk2101 at columbia.edu

Udaya B. Kogalur, Ph.D.
Kogalur Shear Corporation
5425 Nestleway Drive, Suite L1
Clemmons, NC 27012