{
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  "Type": "Package",
  "Title": "Plotting Decision Curve Analysis with Coloured Bars",
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  "Authors@R": "person(\"Qiang\", \"Liu\", email = \"dege857@163.com\",\nrole = c(\"aut\", \"cre\"))",
  "Maintainer": "Qiang Liu <dege857@163.com>",
  "Description": "Decision curve analysis is a method for evaluating and\ncomparing prediction models that incorporates clinical\nconsequences, requires only the data set on which the models\nare tested, and can be applied to models that have either\ncontinuous or dichotomous results. The 'ggscidca' package adds\ncoloured bars of discriminant relevance to the traditional\ndecision curve. Improved practicality and aesthetics. This\nmethod was described by Balachandran VP (2015)\n<doi:10.1016/S1470-2045(14)71116-7>.",
  "License": "GPL-3",
  "Encoding": "UTF-8",
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  "Packaged": {
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    "User": "root"
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  "Author": "Qiang Liu [aut, cre]",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2025-12-16 03:40:02 UTC",
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