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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 |
| 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 |
| Reverse suggests: | qeML |
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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.