boostr: A modular framework to bag or boost any estimation procedure

boostr provides a modular framework that return the focus of ensemble learning back to 'learning' (instead of programming).

Version: 1.0.0
Depends: R (≥ 3.0.2)
Imports: foreach, iterators, stringr
Suggests: knitr, xtable, mlbench, nnet, class, e1071, randomForest
Published: 2014-05-17
Author: Steven Pollack
Maintainer: Steven Pollack <steven at>
License: GPL-2
NeedsCompilation: no
CRAN checks: boostr results


Reference manual: boostr.pdf
Vignettes: User Inputs
Package source: boostr_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: boostr_1.0.0.tgz
OS X Mavericks binaries: r-oldrel: boostr_1.0.0.tgz


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