Package: ClusROC
Type: Package
Title: ROC Analysis in Three-Class Classification Problems for
        Clustered Data
Date: 2022-11-17
Version: 1.0.2
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@stat.unipd.it>
Description: 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. 
License: GPL-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
Encoding: UTF-8
LazyData: true
LazyLoad: yes
ByteCompile: yes
RoxygenNote: 7.2.2
NeedsCompilation: yes
URL: https://github.com/toduckhanh/ClusROC
BugReports: https://github.com/toduckhanh/ClusROC/issues
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
Packaged: 2022-11-17 14:07:13 UTC; toduc
Repository: CRAN
Date/Publication: 2022-11-17 15:00:02 UTC
Built: R 4.2.0; aarch64-apple-darwin20; 2023-07-11 03:29:59 UTC; unix
Archs: ClusROC.so.dSYM
