molson2/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.

Getting started

Package details

AuthorMatthew Olson [aut, cre]
MaintainerMatthew Olson <maolson@wharton.upenn.edu>
LicenseMIT + file LICENSE
Version2.0.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("molson2/JOUSBoost")
molson2/JOUSBoost documentation built on May 23, 2019, 6:06 a.m.