{
  "_id": "6a1fe1eab401979e7343a127",
  "Package": "PhysicalActivity",
  "Version": "0.2-4",
  "Date": "2020-12-29",
  "Title": "Process Accelerometer Data for Physical Activity Measurement",
  "Authors@R": "c(person(given = \"Leena\",\nfamily = \"Choi\",\nrole = c(\"aut\", \"cre\"),\nemail = \"leena.choi@Vanderbilt.Edu\",\ncomment = c(ORCID = \"0000-0002-2544-7090\")),\nperson(given = \"Cole\",\nfamily = \"Beck\",\nrole = \"aut\",\nemail = \"cole.beck@vumc.org\",\ncomment = c(ORCID = \"0000-0002-6849-6255\")),\nperson(given = \"Zhouwen\",\nfamily = \"Liu\",\nrole = \"aut\"),\nperson(given = \"Ryan\",\nfamily = \"Moore\",\nrole = \"aut\",\nemail = \"ryan.moore@vumc.org\"),\nperson(given = \"Charles E.\",\nfamily = \"Matthews\",\nrole = \"aut\"),\nperson(given = \"Maciej S.\",\nfamily = \"Buchowski\",\nrole = \"aut\"))",
  "Description": "It provides a function \"wearingMarking\" for classification\nof monitor wear and nonwear time intervals in accelerometer\ndata collected to assess physical activity. The package also\ncontains functions for making plot for accelerometer data and\nobtaining the summary of various information including daily\nmonitor wear time and the mean monitor wear time during valid\ndays. \"deliveryPred\" and \"markDelivery\" can classify days for\nActiGraph delivery by mail; \"deliveryPreprocess\" can process\naccelerometry data for analysis by zeropadding incomplete days\nand removing low activity days; \"markPAI\" can categorize\nphysical activity intensity level based on user-defined\ncut-points of accelerometer counts. It also supports importing\nActiGraph AGD files with \"readActigraph\" and \"queryActigraph\"\nfunctions.",
  "License": "GPL (>= 3)",
  "RoxygenNote": "7.1.1",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-03 08:09:02 UTC",
    "User": "root"
  },
  "Author": "Leena Choi [aut, cre]\n(<https://orcid.org/0000-0002-2544-7090>), Cole Beck [aut]\n(<https://orcid.org/0000-0002-6849-6255>), Zhouwen Liu [aut],\nRyan Moore [aut], Charles E. Matthews [aut], Maciej S.\nBuchowski [aut]",
  "Maintainer": "Leena Choi <leena.choi@Vanderbilt.Edu>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2021-01-22 21:30:02 UTC",
  "RemoteUrl": "https://github.com/cran/PhysicalActivity",
  "RemoteRef": "HEAD",
  "RemoteSha": "d744dfd148e6498db53f63366169b4eff359c102",
  "MD5sum": "01ebf15f5f8223d761f6130a26277108",
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  "_type": "src",
  "_file": "PhysicalActivity_0.2-4.tar.gz",
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  "_created": "2026-06-03T08:09:02.000Z",
  "_published": "2026-06-03T08:12:26.702Z",
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  "_buildurl": "https://github.com/r-universe/cran/actions/runs/26871823700",
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  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/cran/PhysicalActivity",
  "_commit": {
    "id": "d744dfd148e6498db53f63366169b4eff359c102",
    "author": "Leena Choi <leena.choi@Vanderbilt.Edu>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 0.2-4\n",
    "time": 1611351002
  },
  "_maintainer": {
    "name": "Leena Choi",
    "email": "leena.choi@vanderbilt.edu",
    "orcid": "0000-0002-2544-7090"
  },
  "_registered": true,
  "_dependencies": [
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  "_owner": "cran",
  "_selfowned": false,
  "_usedby": 3,
  "_updates": [],
  "_tags": [],
  "_stars": 2,
  "_userbio": {
    "uuid": 6899542,
    "type": "organization",
    "name": "cran",
    "description": "Unofficial read-only mirror of all CRAN R packages"
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  "_downloads": {
    "count": 297,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/PhysicalActivity"
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  "_mentions": 8,
  "_searchresults": 26,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/PhysicalActivity.html",
    "manual.pdf"
  ],
  "_realowner": "cran",
  "_cranurl": false,
  "_releases": [
    {
      "version": "0.1-0",
      "date": "2010-09-15"
    },
    {
      "version": "0.1-1",
      "date": "2011-11-16"
    },
    {
      "version": "0.2-2",
      "date": "2018-05-18"
    },
    {
      "version": "0.2-4",
      "date": "2021-01-23"
    }
  ],
  "_exports": [
    "dataCollapser",
    "deliveryFeatures",
    "deliveryPred",
    "deliveryPrediction",
    "deliveryPreprocess",
    "markDelivery",
    "markingTime",
    "markPAI",
    "plotData",
    "queryActigraph",
    "readActigraph",
    "readCountsData",
    "summaryData",
    "sumVct",
    "wearingMarking"
  ],
  "_datasets": [
    {
      "name": "dataSec",
      "title": "Accelerometer Data Example",
      "object": "dataSec",
      "file": "dataSec.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "TimeStamp",
        "counts"
      ],
      "rows": 238140,
      "table": true,
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    },
    {
      "name": "deliveryData",
      "title": "Data Example for Mail Delivery Day Classification",
      "object": "deliveryData",
      "file": "deliveryData.RData",
      "class": [
        "data.frame"
      ],
      "fields": [
        "TimeStamp",
        "axis1",
        "axis2",
        "axis3",
        "steps",
        "vm"
      ],
      "rows": 20987,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "PhysicalActivity-package",
      "title": "Process Accelerometer Data for Physical Activity Measurement",
      "concept": [
        "accelerometer data process",
        "mail delivery day classification",
        "wear and nonwear classification"
      ],
      "topics": [
        "PhysicalActivity-package",
        "PhysicalActivity"
      ]
    },
    {
      "page": "dataCollapser",
      "title": "Collapse Accelerometer Data to a Dataset with a Longer Epoch",
      "topics": [
        "dataCollapser"
      ]
    },
    {
      "page": "dataSec",
      "title": "Accelerometer Data Example",
      "topics": [
        "dataSec"
      ]
    },
    {
      "page": "deliveryData",
      "title": "Data Example for Mail Delivery Day Classification",
      "topics": [
        "deliveryData"
      ]
    },
    {
      "page": "deliveryFeatures",
      "title": "Delivery Features",
      "topics": [
        "deliveryFeatures"
      ]
    },
    {
      "page": "deliveryPred",
      "title": "Wrapper Function for Accelerometry data Preprocessing, Feature Extraction, and Delivery Prediction",
      "topics": [
        "deliveryPred"
      ]
    },
    {
      "page": "deliveryPrediction",
      "title": "Predict Delivery Days in Accelerometry Data",
      "topics": [
        "deliveryPrediction"
      ]
    },
    {
      "page": "deliveryPreprocess",
      "title": "Preprocess Accelerometry Data",
      "topics": [
        "deliveryPreprocess"
      ]
    },
    {
      "page": "markDelivery",
      "title": "Classify Mail Delivery and Non-Delivery Days for Accelerometer Data",
      "topics": [
        "markDelivery"
      ]
    },
    {
      "page": "markingTime",
      "title": "Mark Days",
      "topics": [
        "markingTime"
      ]
    },
    {
      "page": "markPAI",
      "title": "Mark Physical Activity Intensity (PAI) Level",
      "topics": [
        "markPAI"
      ]
    },
    {
      "page": "plotData",
      "title": "Plot Accelerometer Data over Time",
      "topics": [
        "plotData"
      ]
    },
    {
      "page": "queryActigraph",
      "title": "Query ActiGraph File",
      "topics": [
        "queryActigraph"
      ]
    },
    {
      "page": "readActigraph",
      "title": "Read ActiGraph Accelerometer Data",
      "topics": [
        "readActigraph"
      ]
    },
    {
      "page": "readCountsData",
      "title": "Convert Accelerometer Output Data to a Correct Data Format",
      "topics": [
        "readCountsData"
      ]
    },
    {
      "page": "summaryData",
      "title": "Summarize Classified Wear Time by Daily Basis",
      "topics": [
        "summaryData"
      ]
    },
    {
      "page": "sumVct",
      "title": "Summarize Wear and Nonwear Time Interval",
      "topics": [
        "sumVct"
      ]
    },
    {
      "page": "wearingMarking",
      "title": "Classify Wear and Nonwear Time for Accelerometer Data",
      "topics": [
        "wearingMarking"
      ]
    }
  ],
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