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  "Title": "Simple and Fast ROC Curves",
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  "Authors@R": "person(\"Daniel\", \"Lazar\", email = \"da-zar@gmx.net\", role = c(\"aut\", \"cre\"))",
  "Description": "A set of functions for receiver operating characteristic\n(ROC) curve estimation and area under the curve (AUC)\ncalculation. All functions are designed to work with aggregated\ndata; nevertheless, they can also handle raw samples. In\n'ROCket', we distinguish two types of ROC curve\nrepresentations: 1) parametric curves - the true positive rate\n(TPR) and the false positive rate (FPR) are functions of a\nparameter (the score), 2) functions - TPR is a function of FPR.\nThere are several ROC curve estimation methods available. An\nintroduction to the mathematical background of the implemented\nmethods (and much more) can be found in de Zea Bermudez,\nGonçalves, Oliveira & Subtil (2014) and Cai & Pepe (2004).",
  "License": "GPL-3",
  "Encoding": "UTF-8",
  "URL": "https://github.com/da-zar/ROCket",
  "BugReports": "https://github.com/da-zar/ROCket/issues",
  "RoxygenNote": "7.2.0",
  "Collate": "'ROCket.R' 'generics.R' 'auc.R' 'mwu.R' 'rkt_ecdf.R'\n'rkt_prep.R' 'rkt_roc.R' 'roc_methods.R' 'utils.R' 'zzz.R'",
  "Repository": "https://da-zar.r-universe.dev",
  "Date/Publication": "2025-05-09 15:52:53 UTC",
  "RemoteUrl": "https://github.com/da-zar/rocket",
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    "User": "root"
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  "Author": "Daniel Lazar [aut, cre]",
  "Maintainer": "Daniel Lazar <da-zar@gmx.net>",
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        "auc.curve",
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        "print.rkt_ecdf",
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        "rkt_roc"
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