{
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  "Package": "rQCC",
  "Title": "Robust Quality Control Chart",
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  "Date": "2022-12-22",
  "Authors@R": "c(person(given=\"Chanseok\",\nfamily=\"Park\",\nrole = c(\"aut\", \"cre\"),\nemail=\"statpnu@gmail.com\",\ncomment = c(ORCID = \"https://orcid.org/0000-0002-2208-3498\")),\nperson(given=\"Min\",\nfamily=\"Wang\",\nrole = \"ctb\",\nemail=\"min.wang3@utsa.edu\",\ncomment = c(ORCID = \"https://orcid.org/0000-0002-9233-7844\")) )",
  "Author": "Chanseok Park [aut, cre]\n(<https://orcid.org/0000-0002-2208-3498>), Min Wang [ctb]\n(<https://orcid.org/0000-0002-9233-7844>)",
  "Maintainer": "Chanseok Park <statpnu@gmail.com>",
  "Description": "Constructs various robust quality control charts based on\nthe median or Hodges-Lehmann estimator (location) and the\nmedian absolute deviation (MAD) or Shamos estimator (scale).\nThe estimators used for the robust control charts are all\nunbiased with a sample of finite size. For more details, see\nPark, Kim and Wang (2022) <doi:10.1080/03610918.2019.1699114>.\nIn addition, using this R package, the conventional quality\ncontrol charts such as X-bar, S, R, p, np, u, c, g, h, and t\ncharts are also easily constructed. This work was supported by\nthe National Research Foundation of Korea (NRF) grant funded by\nthe Korea government (MSIT) (No. 2022R1A2C1091319).",
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