SMOTEWB: Imbalanced Resampling using SMOTE with Boosting (SMOTEWB)

Provides the SMOTE with Boosting (SMOTEWB) algorithm. See F. Sağlam, M. A. Cengiz (2022) <doi:10.1016/j.eswa.2022.117023>. Also SMOTEWB provides faster versions of several resampling methods for imbalanced datasets, including SMOTE with Boosting (SMOTEWB), ADASYN, Borderline SMOTE (BLSMOTE), Random Over-Sampling (ROS), Random Under-Sampling (RUS), Safe-Level SMOTE (SLSMOTE), Relocating Safe-Level SMOTE (RSLSMOTE), and Random Over-Sampling Examples (ROSE).

Version:	1.0.1
Depends:	R (≥ 4.2)
Imports:	stats, FNN, RANN, rpart, Rfast
Published:	2023-04-19
Author:	Fatih Saglam [aut, cre]
Maintainer:	Fatih Saglam <saglamf89 at gmail.com>
License:	MIT + file LICENSE
NeedsCompilation:	no
Citation:	SMOTEWB citation info
Materials:	README
CRAN checks:	SMOTEWB results

Documentation:

Reference manual:

SMOTEWB.pdf

Downloads:

Package source:	SMOTEWB_1.0.1.tar.gz
Windows binaries:	r-devel: SMOTEWB_1.0.1.zip, r-release: SMOTEWB_1.0.1.zip, r-oldrel: SMOTEWB_1.0.1.zip
macOS binaries:	r-release (arm64): SMOTEWB_1.0.1.tgz, r-oldrel (arm64): SMOTEWB_1.0.1.tgz, r-release (x86_64): SMOTEWB_1.0.1.tgz, r-oldrel (x86_64): SMOTEWB_1.0.1.tgz
Old sources:	SMOTEWB archive

Reverse dependencies:

Reverse imports:

imbalanceDatRel

Linking:

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