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 |
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 |
Reference manual: | JOUSBoost.pdf |
Vignettes: |
JOUSBoost |
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 |
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