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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 (source)
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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