A Collection of Oversampling Techniques for Class Imbalance Problem Based on SMOTE
Overview
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.
Install
Health
- OK13 OK2026-08-04
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 13
- Examples that run
- 92%12 run in a plain check · 1 never run
- Exported functions with examples
- 100%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- Help pages citing references
- 62%
Downloads
Dependencies
Installing smotefamily adds 13 packages (9 with compiled code, 14 MB of source tarballs). Heaviest: igraph 4.8 MB, dbscan 3.8 MB, Rcpp 1.8 MB.
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.4.0Latest
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 1.3.12019-05-30 · diff ↗
- RR 3.6.0 released · 2019-04-26
- 1.32018-12-18 · diff ↗
- RR 3.5.0 released · 2018-04-23
- unarchivedReturned to CRAN2018-01-30
- 1.22018-01-30 · diff ↗
- archivedRemoved from CRAN2018-01-23check problems were not corrected in time
- 1.12017-08-11 · diff ↗
Show 3 earlier eventsHide 3 earlier events
- RR 3.4.0 released · 2017-04-21
- 1.02016-09-08
- RR 3.3.0 released · 2016-05-03
Package metadata
- First published
- 2016-09-08
- Total releases
- 6 / 10 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 3.0.0
- Download size
- 11 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("smotefamily")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.