Package: CompClassMetrics
Title: Classification Measures when Subclasses are Involved
Version: 1.0.1
Authors@R: 
    person("Nan", "Nan", , "nannan@buffalo.edu", role = c("aut", "cre"))
Description: Accuracy metrics are commonly used to assess the discriminating ability of diagnostic tests or biomarkers. Among them, metrics based on the ROC framework are particularly popular. When classification involves subclasses, the package 'CompClassMetrics' includes functions that can provide the point estimate, confidence interval as well as true values if a parametric setting is known. For more details see Nan and Tian (2025) <doi:10.1177/09622802251343600>, Nan and Tian (2023) <doi:10.1002/sim.9908>, Feng and Tian (2020) <doi:10.1177/0962280220938077> and Wang et al (2016) <doi:10.1002/sim.6843>.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.2
Imports: plot3D, pracma, cubature, stats
NeedsCompilation: no
Packaged: 2026-02-27 23:14:35 UTC; nannan
Author: Nan Nan [aut, cre]
Maintainer: Nan Nan <nannan@buffalo.edu>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-02-27 23:32:04 UTC
Built: R 4.6.0; ; 2026-04-27 08:21:05 UTC; unix
