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  "Title": "Classification Measures when Subclasses are Involved",
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  "Authors@R": "person(\"Nan\", \"Nan\", , \"nannan@buffalo.edu\", role = c(\"aut\", \"cre\"))",
  "Description": "Accuracy metrics are commonly used to assess the\ndiscriminating ability of diagnostic tests or biomarkers. Among\nthem, metrics based on the ROC framework are particularly\npopular. When classification involves subclasses, the package\n'CompClassMetrics' includes functions that can provide the\npoint estimate, confidence interval as well as true values if a\nparametric setting is known. For more details see Nan and Tian\n(2025) <doi:10.1177/09622802251343600>, Nan and Tian (2023)\n<doi:10.1002/sim.9908>, Feng and Tian (2020)\n<doi:10.1177/0962280220938077> and Wang et al (2016)\n<doi:10.1002/sim.6843>.",
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  "Author": "Nan Nan [aut, cre]",
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