boost: Boosting Methods for Real and Simulated Data

Contains a collection of boosting methods, these are 'BagBoost', 'LogitBoost', 'AdaBoost' and 'L2Boost', along with feature preselection by the Wilcoxon test statistic. Moreover, methods for the simulation of data according to correlation and mean structures of existing real datasets are included.

Version: 1.0-0
Author: Marcel Dettling
Maintainer: Marcel Dettling, <dettling at jhu.edu>
License: GPL 2.0
URL: http://stat.ethz.ch/~dettling
In views: MachineLearning
CRAN checks: boost results

Downloads:

Package source: boost_1.0-0.tar.gz
MacOS X binary: boost_1.0-0.tgz
Windows binary: not available, see ReadMe.
Reference manual: boost.pdf
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