Package: bagRboostR
Type: Package
Title: Ensemble bagging and boosting classifiers
Version: 0.0.2
Author: Shannon Rush <shannonmrush@gmail.com>
Maintainer: Shannon Rush <shannonmrush@gmail.com>
Description: bagRboostR is a set of ensemble classifiers for multinomial
    classification. The bagging function is the implementation of Breiman's
    ensemble as described by Opitz & Maclin (1999). The boosting function is
    the implementation of Stagewise Additive Modeling using a Multi-class
    Exponential loss function (SAMME) created by Zhu et al (2006). Both bagging
    and SAMME implementations use randomForest as the weak classifier and
    expect a character outcome variable.  Each ensemble classifier returns a
    character vector of predictions for the test set.
Imports: randomForest
Suggests: testthat
License: MIT + file LICENSE
Collate: 'bagging.R' 'helpers.R' 'samme.R'
Packaged: 2014-03-05 16:29:22 UTC; shannonmrush
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-03-05 18:13:45
Built: R 3.1.0; ; 2014-03-06 11:27:49 UTC; unix
