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: 2026-07-10 05:46:04 UTC; root
Author: Nan Nan [aut, cre]
Maintainer: Nan Nan <nannan@buffalo.edu>
Depends: R (>= 3.5.0)
Repository: https://cran.r-universe.dev
Date/Publication: 2026-02-27 23:32:04 UTC
RemoteUrl: https://github.com/cran/CompClassMetrics
RemoteRef: HEAD
RemoteSha: 146a888745697554f056252cfaf781a200a822a6