Package: imbalanceKit Type: Package Title: Resampling Methods and Tools for Imbalanced Classification Version: 0.1.0 Authors@R: c(person("Fatih", "Saglam", email = "saglamf89@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-2084-2008"))) Description: A collection of resampling methods for class imbalance in classification problems. Includes the oversampling methods SMOTE with boosting (SMOTEWB) by F. Sağlam and M. A. Cengiz (2022) , Markov chain SMOTE (MCSMOTE) by F. Sağlam and M. A. Cengiz (2025) , uncertainty guided oversampling (UGO) by F. Sağlam and M. A. Cengiz (2026) , and bi-directional SMOTE (BiSMOTE) by F. Sağlam and U. Yamak (2027) , and the data relocation approach DatRel by F. Sağlam (2025) , together with commonly used alternatives such as SMOTE, ADASYN, Borderline-SMOTE, Safe-Level-SMOTE, geometric SMOTE, random oversampling and undersampling. The methods share the same interface: they take a feature matrix and a factor class variable and return the resampled data together with the synthetic samples. Depends: R (>= 4.0.0) Imports: stats, utils, FNN, rpart, Rfast Suggests: randomForest, nnet, testthat (>= 3.0.0) License: MIT + file LICENSE Encoding: UTF-8 Config/testthat/edition: 3 Config/roxygen2/version: 8.1.0 NeedsCompilation: no Packaged: 2026-11-13 18:35:32 UTC; root Author: Fatih Saglam [aut, cre] (ORCID: ) Maintainer: Fatih Saglam Repository: https://cran.r-universe.dev Date/Publication: 2026-11-13 17:54:54 UTC RemoteUrl: https://github.com/cran/imbalanceKit RemoteRef: HEAD RemoteSha: 87977a452a7ccdeab6619fb86ef1885804b849cf