{
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  "Package": "rawKS",
  "Title": "Easily Get True-Positive Rate and False-Positive Rate and KS\nStatistic",
  "Version": "0.1.0",
  "Authors@R": "person(given = \"Jiaxiang\",\nfamily = \"Li\",\nrole = c(\"aut\", \"cre\"),\nemail = \"alex.lijiaxiang@foxmail.com\",\ncomment = c(ORCID = \"https://orcid.org/0000-0003-3196-6492\"))",
  "Description": "The Kolmogorov-Smirnov (K-S) statistic is a standard\nmethod to measure the model strength for credit risk scoring\nmodels. This package calculates the K–S statistic and plots the\ntrue-positive rate and false-positive rate to measure the model\nstrength. This package was written with the credit marketer,\nwho uses risk models in conjunction with his campaigns. The\nusers could read more details from Thrasher (1992)\n<doi:10.1002/dir.4000060408> and 'pyks'\n<https://pypi.org/project/pyks/>.",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "Roxygen": "list(markdown = TRUE)",
  "RoxygenNote": "6.1.1",
  "VignetteBuilder": "knitr",
  "Config/pak/sysreqs": "libicu-dev",
  "Repository": "https://jiaxiangbu.r-universe.dev",
  "Date/Publication": "2020-02-08 12:10:14 UTC",
  "RemoteUrl": "https://github.com/jiaxiangbu/rawks",
  "RemoteRef": "HEAD",
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  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-28 08:12:38 UTC",
    "User": "root"
  },
  "Author": "Jiaxiang Li [aut, cre] (ORCID: <https://orcid.org/0000-0003-3196-6492>)",
  "Maintainer": "Jiaxiang Li <alex.lijiaxiang@foxmail.com>",
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    "author": "Jiaxiang Li <alex.lijiaxiang@foxmail.com>",
    "committer": "Jiaxiang Li <alex.lijiaxiang@foxmail.com>",
    "message": "add citation.\n",
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    "email": "alex.lijiaxiang@foxmail.com",
    "login": "jiaxiangbu",
    "description": "李家翔 | Reviewer of XGBoost | Commiter of workflowr,tidypredict | R package developer | R, Python, Hive user | Modeler to launch solutions into production\n",
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  "_topics": [
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    "model-evaluation"
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    "ks_plot",
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