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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: | 1.0.2 |
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: | 2022-11-17 |
DOI: | 10.32614/CRAN.package.ClusROC |
Author: | Duc-Khanh To [aut, cre] (<https://orcid.org/0000-0002-4641-0764>), with contributions from Gianfranco Adimari and Monica Chiogna |
Maintainer: | Duc-Khanh To <toduc at stat.unipd.it> |
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 |
Reference manual: | ClusROC.pdf |
Package source: | ClusROC_1.0.2.tar.gz |
Windows binaries: | r-devel: ClusROC_1.0.2.zip, r-release: ClusROC_1.0.2.zip, r-oldrel: ClusROC_1.0.2.zip |
macOS binaries: | r-release (arm64): ClusROC_1.0.2.tgz, r-oldrel (arm64): ClusROC_1.0.2.tgz, r-release (x86_64): ClusROC_1.0.2.tgz, r-oldrel (x86_64): ClusROC_1.0.2.tgz |
Old sources: | ClusROC archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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