smotefamily: A Collection of Oversampling Techniques for Class Imbalance Problem Based on SMOTE

A collection of various oversampling techniques developed from SMOTE is provided. SMOTE is a oversampling technique which synthesizes a new minority instance between a pair of one minority instance and one of its K nearest neighbor. Other techniques adopt this concept with other criteria in order to generate balanced dataset for class imbalance problem.

Version: 1.4.0
Depends: R (≥ 3.0.0)
Imports: FNN, dbscan, igraph
Published: 2024-03-14
DOI: NA
Author: Wacharasak Siriseriwan [aut, cre]
Maintainer: Wacharasak Siriseriwan <wacharasak.s at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: smotefamily results

Documentation:

Reference manual: smotefamily.pdf

Downloads:

Package source: smotefamily_1.4.0.tar.gz
Windows binaries: r-devel: smotefamily_1.4.0.zip, r-release: smotefamily_1.4.0.zip, r-oldrel: smotefamily_1.4.0.zip
macOS binaries: r-release (arm64): smotefamily_1.4.0.tgz, r-oldrel (arm64): smotefamily_1.4.0.tgz, r-release (x86_64): smotefamily_1.4.0.tgz, r-oldrel (x86_64): smotefamily_1.4.0.tgz
Old sources: smotefamily archive

Reverse dependencies:

Reverse imports: aifeducation, daltoolboxdp, ebmc, imbalance, npcs, sambia, scutr
Reverse suggests: mlr3pipelines

Linking:

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