{ "_id": "6aae407c3d719c1f8407a226", "Package": "mupet", "Title": "Multiclass Performance Evaluation Toolkit", "Version": "0.1.0", "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” 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.", "License": "MIT + file LICENSE", "Config/testthat/edition": "3", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "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", "RemoteUrl": "https://github.com/astamm/mupet", "RemoteRef": "HEAD", "RemoteSha": "4d855ed30f68b16c8c89d967ba1aba72fc517a9e", "NeedsCompilation": "no", "Packaged": { "Date": "2026-09-19 07:52:10 UTC", "User": "root" }, "Author": "Lise Bellanger [aut],\nManon Simonot [aut],\nAymeric Stamm [aut, cre] (ORCID:\n)", "Maintainer": "Aymeric Stamm ", "_user": "astamm", "_type": "src", "_file": "mupet_0.1.0.tar.gz", "_fileid": 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