{
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  "Package": "mupet",
  "Title": "Multiclass Performance Evaluation Toolkit",
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  "Authors@R": "c(\nperson(\n\"Lise\", \"Bellanger\",\nrole = \"aut\"\n),\nperson(\n\"Manon\", \"Simonot\",\nrole = \"aut\"\n),\nperson(\n\"Aymeric\", \"Stamm\",\nemail = \"aymeric.stamm@cnrs.fr\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-8725-3654\")\n))",
  "Description": "Implementation of custom 'tidymodels' metrics for\nmulti-class prediction models with a single negative class.\nCurrently are implemented macro-average sensitivity and\nspecificity as in Mortaz, Ebrahim (2020) \"Imbalance accuracy\nmetric for model selection in multi-class imbalance\nclassification problems” <doi:10.1016/j.knosys.2020.106490> and\na generalized weighted Youden index as in Li, D.L., Shen F.,\nYin Y., Peng J.X and Chen P.Y. (2013) “Weighted Youden index\nand its two-independent-sample comparison based on weighted\nsensitivity and specificity”\n<doi:10.3760/cma.j.issn.0366-6999.20123102>.",
  "License": "MIT + file LICENSE",
  "Config/testthat/edition": "3",
  "Encoding": "UTF-8",
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  "URL": "https://github.com/astamm/mupet, https://astamm.github.io/mupet/",
  "BugReports": "https://github.com/astamm/mupet/issues",
  "Repository": "https://astamm.r-universe.dev",
  "Date/Publication": "2026-01-16 14:17:34 UTC",
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    "User": "root"
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  "Author": "Lise Bellanger [aut],\nManon Simonot [aut],\nAymeric Stamm [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-8725-3654>)",
  "Maintainer": "Aymeric Stamm <aymeric.stamm@cnrs.fr>",
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  "_created": "2026-07-21T08:17:03.000Z",
  "_published": "2026-07-21T08:26:40.167Z",
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    "macro_average_sensitivity_vec",
    "macro_average_specificity",
    "macro_average_specificity_vec",
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    "weighted_youden_index_vec"
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        "macro_average_sensitivity.data.frame",
        "macro_average_sensitivity_vec"
      ]
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        "macro_average_specificity.data.frame",
        "macro_average_specificity_vec"
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        "weighted_youden_index_vec"
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