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. (see <> for more information) Other techniques adopt this concept with other criteria in order to generate balanced dataset for class imbalance problem.

Version: 1.3.1
Depends: R (≥ 3.0.0)
Imports: FNN, dbscan, igraph
Published: 2019-05-30
Author: Wacharasak Siriseriwan [aut, cre]
Maintainer: Wacharasak Siriseriwan <wacharasak.s at>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: smotefamily results


Reference manual: smotefamily.pdf


Package source: smotefamily_1.3.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): smotefamily_1.3.1.tgz, r-oldrel (arm64): smotefamily_1.3.1.tgz, r-release (x86_64): smotefamily_1.3.1.tgz
Old sources: smotefamily archive

Reverse dependencies:

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


Please use the canonical form to link to this page.