DESCRIPTION

Package: IRIC
Type: Package
Title: Integrated R Library for Imbalanced Classification
Version: 1.2.0
Author: Bing Zhu, Zihan Gao, Junkai Zhao, Rener Oliveira
Maintainer: Bing Zhu <zhubing@scu.edu.cn>
Description: Imbalanced classification is a challenging issue in data mining and machine learning. To address this issue, a large number of solutions have been proposed. We introduce an R library called IRIC, which integrates a wide set of solutions for imbalanced classification. IRIC not only provides a new implementation of some state-of-art techniques for binary imbalanced classification, but also improves the efficiency of model building using parallel techniques. The library and its source code are made freely available.
License: GPL (>= 3) + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: RANN, caret, foreach, doParallel, rpart, parallel, RWeka, iterators
LazyData: true
RoxygenNote: 7.1.2
Roxygen: list(markdown = TRUE)
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Language: en-US