ClusROC: ROC Analysis in Three-Class Classification Problems forClustered Data
Statistical methods for ROC surface analysis in three-class classification problems for clustered data and in presence of covariates. In particular, the package allows to obtain covariate-specific point and interval estimation for: (i) true class fractions (TCFs) at fixed pairs of thresholds; (ii) the ROC surface; (iii) the volume under ROC surface (VUS); (iv) the optimal pairs of thresholds. Methods considered in points (i), (ii) and (iv) are proposed and discussed in To et al. (2022) <doi:10.1177/09622802221089029>. Referring to point (iv), three different selection criteria are implemented: Generalized Youden Index (GYI), Closest to Perfection (CtP) and Maximum Volume (MV). Methods considered in point (iii) are proposed and discussed in Xiong et al. (2018) <doi:10.1177/0962280217742539>. Visualization tools are also provided. We refer readers to the articles cited above for all details.
| Version: | 1.0.3 |
| Depends: | R (≥ 3.5.0), stats, utils, graphics,nlme,Rcpp (≥ 0.12.3) |
| Imports: | rgl,ellipse,numDeriv,ggplot2,ggpubr,foreach,iterators, parallel,doParallel |
| LinkingTo: | Rcpp,RcppArmadillo |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2025-10-01 |
| DOI: | 10.32614/CRAN.package.ClusROC |
| Author: | Duc-Khanh To [aut, cre], Gianfranco Adimari [ctb], Monica Chiogna [ctb] |
| Maintainer: | Duc-Khanh To <tdkhanh at hcmus.edu.vn> |
| BugReports: | https://github.com/toduckhanh/ClusROC/issues |
| License: | GPL-3 |
| URL: | https://github.com/toduckhanh/ClusROC |
| NeedsCompilation: | yes |
| Materials: | README,NEWS |
| CRAN checks: | ClusROC results |
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