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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:

Please use the canonical form https://CRAN.R-project.org/package=JOUSBoost to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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