JOUSBoost: Implements Under/Oversampling for Probability Estimation
Version 2.1.0

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

Package details

AuthorMatthew Olson [aut, cre]
Date of publication2017-07-12 19:13:02 UTC
MaintainerMatthew Olson <maolson@wharton.upenn.edu>
LicenseMIT + file LICENSE
Version2.1.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("JOUSBoost")

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JOUSBoost documentation built on July 13, 2017, 1:03 a.m.