JOUSBoost: Implements Under/Oversampling for Probability Estimation

Implements under/oversampling for probability estimation. To be used with machine learning methods such as AdaBoost, random forests, etc.

Version:	2.1.0
Depends:	R (≥ 2.10)
Imports:	Rcpp, rpart, stats, doParallel, foreach
LinkingTo:	Rcpp
Suggests:	testthat, knitr, rmarkdown
Published:	2017-07-12
DOI:	10.32614/CRAN.package.JOUSBoost
Author:	Matthew Olson [aut, cre]
Maintainer:	Matthew Olson <maolson at wharton.upenn.edu>
License:	MIT + file LICENSE
NeedsCompilation:	yes
Materials:	README
CRAN checks:	JOUSBoost results

Documentation:

Reference manual:	JOUSBoost.pdf
Vignettes:	JOUSBoost

Downloads:

Package source:	JOUSBoost_2.1.0.tar.gz
Windows binaries:	r-devel: JOUSBoost_2.1.0.zip, r-release: JOUSBoost_2.1.0.zip, r-oldrel: JOUSBoost_2.1.0.zip
macOS binaries:	r-release (arm64): JOUSBoost_2.1.0.tgz, r-oldrel (arm64): JOUSBoost_2.1.0.tgz, r-release (x86_64): JOUSBoost_2.1.0.tgz, r-oldrel (x86_64): JOUSBoost_2.1.0.tgz
Old sources:	JOUSBoost archive

Reverse dependencies:

Reverse suggests:

qeML

Linking:

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