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  "Title": "High-Dimensional Screening for Semiparametric Longitudinal\nRegression",
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  "Authors@R": "c(\nperson(\"Runze\",\"Li\", email = \"runzelipsu@gmail.com\", role = \"aut\"),\nperson(\"Liying\",\"Huang\", email = \"lxh37@PSU.EDU\", role = \"aut\"),\nperson(\"John\",\"Dziak\", email = \"dziakj1@gmail.com\", role = c(\"aut\",\"cre\")))",
  "Description": "Implements variable screening techniques for ultra-high\ndimensional regression settings.  Techniques for independent\n(iid) data, varying-coefficient models, and longitudinal data\nare implemented. The package currently contains three screen\nfunctions: screenIID(), screenLD() and screenVCM(), and six\nmethods for simulating dataset: simulateDCSIS(), simulateLD,\nsimulateMVSIS(), simulateMVSISNY(), simulateSIRS() and\nsimulateVCM(). The package is based on the work of Li-Ping ZHU,\nLexin LI, Runze LI, and Li-Xing ZHU (2011)\n<DOI:10.1198/jasa.2011.tm10563>, Runze LI, Wei ZHONG, & Liping\nZHU (2012) <DOI:10.1080/01621459.2012.695654>, Jingyuan LIU,\nRunze LI, & Rongling WU (2014)\n<DOI:10.1080/01621459.2013.850086> Hengjian CUI, Runze LI, &\nWei ZHONG (2015) <DOI:10.1080/01621459.2014.920256>, and\nWanghuan CHU, Runze LI and Matthew REIMHERR (2016)\n<DOI:10.1214/16-AOAS912>.",
  "Copyright": "(c) 2022 by Runze LI",
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  "Author": "Runze Li [aut], Liying Huang [aut], John Dziak [aut, cre]",
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      "page": "screenIID",
      "title": "Feature Selection for Ultrahigh-Dimensional Datasets with Independent Subjects,",
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    {
      "page": "screenLD",
      "title": "Perform high-dimensional screening for semiparametric longitudinal regression",
      "topics": [
        "screenLD"
      ]
    },
    {
      "page": "screenVCM",
      "title": "Perform screening for ultrahigh-dimensional varying coefficient model",
      "topics": [
        "screenVCM"
      ]
    },
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      "page": "simulateDCSIS",
      "title": "Simulate a dataset for demonstrating the performance of screenIID with the DC-SIS method",
      "topics": [
        "simulateDCSIS"
      ]
    },
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      "page": "simulateLD",
      "title": "Simulate a dataset for testing the performance of screenlong",
      "topics": [
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    },
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      "page": "simulateMVSIS",
      "title": "Simulate a dataset for demonstrating the performance of screenIID with the MV-SIS option with categorical outcome variable",
      "topics": [
        "simulateMVSIS"
      ]
    },
    {
      "page": "simulateMVSISNY",
      "title": "Simulate a dataset for demonstrating the performance of screenIID with the MV-SIS method with numeric outcome Y",
      "topics": [
        "simulateMVSISNY"
      ]
    },
    {
      "page": "simulateSIRS",
      "title": "Simulate a dataset for demonstrating the performance of screenIID with the SIRS method",
      "topics": [
        "simulateSIRS"
      ]
    },
    {
      "page": "simulateVCM",
      "title": "Simulate a dataset for testing the performance of screenVCM",
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