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  "Title": "Dynamic Screening Systems",
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  "Date": "2026-01-24",
  "Authors@R": "c(person(given = \"Lu\",\nfamily = \"You\",\nrole = c(\"aut\", \"cre\"),\nemail = \"Lu.You@epi.usf.edu\"),\nperson(given = \"Peihua\",\nfamily = \"Qiu\",\nrole = \"aut\"))",
  "Maintainer": "Lu You <Lu.You@epi.usf.edu>",
  "Description": "In practice, we will encounter problems where the\nlongitudinal performance of processes needs to be monitored\nover time. Dynamic screening systems (DySS) are methods that\naim to identify and give signals to processes with poor\nperformance as early as possible. This package is designed to\nimplement dynamic screening systems and the related methods.\nReferences: Qiu, P. and Xiang, D. (2014)\n<doi:10.1080/00401706.2013.822423>; Qiu, P. and Xiang, D.\n(2015) <doi:10.1002/sim.6477>; Li, J. and Qiu, P. (2016)\n<doi:10.1080/0740817X.2016.1146423>; Li, J. and Qiu, P. (2017)\n<doi:10.1002/qre.2160>; You, L. and Qiu, P. (2019)\n<doi:10.1080/00949655.2018.1552273>; Qiu, P., Xia, Z., and You,\nL. (2020) <doi:10.1080/00401706.2019.1604434>; You, L., Qiu,\nA., Huang, B., and Qiu, P. (2020) <doi:10.1002/bimj.201900127>;\nYou, L. and Qiu, P. (2021) <doi:10.1080/00224065.2020.1767006>.",
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      "topics": [
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      "page": "data_example_long_1d",
      "title": "A simulated dataset with univariate data",
      "topics": [
        "data_example_long_1d"
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    },
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      "page": "data_example_long_md",
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      "title": "Monitor Multivariate Longitudinal Data",
      "topics": [
        "monitor_long_md"
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      "title": "Monitor Longitudinal Data for Survival Outcomes",
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        "monitor_long_surv"
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