imbalance: Preprocessing Algorithms for Imbalanced Datasets

Class imbalance usually damages the performance of classifiers. Thus, it is important to treat data before applying a classifier algorithm. This package includes recent resampling algorithms in the literature: (Barua et al. 2014) <doi:10.1109/tkde.2012.232>; (Das et al. 2015) <doi:10.1109/tkde.2014.2324567>, (Zhang et al. 2014) <doi:10.1016/j.inffus.2013.12.003>; (Gao et al. 2014) <doi:10.1016/j.neucom.2014.02.006>; (Almogahed et al. 2014) <doi:10.1007/s00500-014-1484-5>. It also includes an useful interface to perform oversampling.

Version:	1.0.2.1
Depends:	R (≥ 3.3.0)
Imports:	bnlearn, KernelKnn, ggplot2, utils, stats, mvtnorm, Rcpp, smotefamily, FNN, C50
LinkingTo:	Rcpp, RcppArmadillo
Suggests:	testthat, knitr, rmarkdown
Published:	2020-04-07
Author:	Ignacio Cordón [aut, cre], Salvador García [aut], Alberto Fernández [aut], Francisco Herrera [aut]
Maintainer:	Ignacio Cordón <nacho.cordon.castillo at gmail.com>
BugReports:	http://github.com/ncordon/imbalance/issues
License:	GPL-2 | GPL-3 | file LICENSE [expanded from: GPL (≥ 2) | file LICENSE]
URL:	http://github.com/ncordon/imbalance
NeedsCompilation:	yes
Citation:	imbalance citation info
Materials:	README NEWS
CRAN checks:	imbalance results

Documentation:

Reference manual:	imbalance.pdf
Vignettes:	Working with imbalanced dataset

Downloads:

Package source:	imbalance_1.0.2.1.tar.gz
Windows binaries:	r-devel: imbalance_1.0.2.1.zip, r-release: imbalance_1.0.2.1.zip, r-oldrel: imbalance_1.0.2.1.zip
macOS binaries:	r-release (arm64): imbalance_1.0.2.1.tgz, r-oldrel (arm64): imbalance_1.0.2.1.tgz, r-release (x86_64): imbalance_1.0.2.1.tgz, r-oldrel (x86_64): imbalance_1.0.2.1.tgz
Old sources:	imbalance archive

Reverse dependencies:

Reverse suggests:

randomForestSRC, rbooster

Linking:

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