The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
| 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 |
Please use the canonical form https://CRAN.R-project.org/package=ClusROC to link to this page.
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.
Health stats visible at Monitor.