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

Documentation

Manual: JOUSBoost.pdf
Vignette: None available.

Maintainer: Matthew Olson <maolson at wharton.upenn.edu>

Author(s): Matthew Olson*

Install package and any missing dependencies by running this line in your R console:

install.packages("JOUSBoost")

Depends R (>= 2.10)
Imports Rcpp, rpart, stats
Suggests testthat
Enhances
Linking to Rcpp
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depends
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imports
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Package JOUSBoost
Materials
URL
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Version 1.0.0
Published 2016-09-12
License MIT + file LICENSE
BugReports
SystemRequirements
NeedsCompilation yes
Citation
CRAN checks JOUSBoost check results
Package source JOUSBoost_1.0.0.tar.gz