Package: ROBOSRMSMOTE 1.0.0
Zainab Subhi Mahmood Hawrami
ROBOSRMSMOTE: Robust Oversampling with RM-SMOTE for Imbalanced Classification
Provides the ROBOSRMSMOTE (Robust Oversampling with RM-SMOTE) framework for imbalanced classification tasks. This package extends Mahalanobis distance-based oversampling techniques by integrating robust covariance estimators to better handle outliers and complex data distributions. The implemented methodology builds upon and significantly expands the RM-SMOTE algorithm originally proposed by Taban et al. (2025) <doi:10.1007/s10260-025-00819-8>.
Authors:
ROBOSRMSMOTE_1.0.0.tar.gz
ROBOSRMSMOTE_1.0.0.tar.gz(r-4.7-any)ROBOSRMSMOTE_1.0.0.tar.gz(r-4.6-any)
ROBOSRMSMOTE_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ROBOSRMSMOTE/json (API)
| # Install 'ROBOSRMSMOTE' in R: |
| install.packages('ROBOSRMSMOTE', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- haberman - Haberman Survival Imbalanced Dataset
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:6996a2efab. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 118 | ||
| source / vignettes | OK | 162 | ||
| linux-release-x86_64 | OK | 115 | ||
| wasm-release | OK | 113 |
Exports:get_robust_covROBOS_RM_SMOTEweighting
Dependencies:DEoptimRlatticemeanShiftRmvtnormpcaPProbustbaserrcov
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Get Robust Center and Covariance Matrix | get_robust_cov |
| Haberman Survival Imbalanced Dataset | haberman |
| RM-SMOTE: Robust Mahalanobis SMOTE for Imbalanced Classification (ROBOSRMSMOTE Framework) | ROBOS_RM_SMOTE |
| Compute Robust Mahalanobis Weights for Minority Class Observations | weighting |