{
  "_id": "69e06dd0c5259ad4cd8fb671",
  "Package": "mctq",
  "Title": "Munich ChronoType Questionnaire Tools",
  "Version": "0.3.2.9001",
  "Authors@R": "c(\nperson(\ngiven = \"Daniel\",\nfamily = \"Vartanian\",\nrole = c(\"aut\", \"cre\", \"ccp\", \"cph\"),\nemail = \"danvartan@gmail.com\",\ncomment = c(ORCID = \"0000-0001-7782-759X\")\n),\nperson(\ngiven = \"Ana Amelia\",\nfamily = \"Benedito Silva\",\nrole = c(\"sad\"),\nemail = \"aamelia@usp.br\",\ncomment = c(ORCID = \"0000-0003-4976-2623\")\n),\nperson(\ngiven = \"Mario\",\nfamily = \"Pedrazzoli\",\nrole = c(\"sad\"),\nemail = \"pedrazzo@usp.br\",\ncomment = c(ORCID = \"0000-0002-5257-591X\")\n),\nperson(\ngiven = \"Jonathan\",\nfamily = \"Keane\",\nrole = c(\"rev\"),\nemail = \"jkeane@gmail.com\",\ncomment = c(ORCID = \"0000-0001-7087-9776\")\n),\nperson(\ngiven = \"Mario Andre\",\nfamily = \"Leocadio-Miguel\",\nrole = c(\"rev\"),\nemail = \"miguel.ml.mario@gmail.com\",\ncomment = c(ORCID = \"0000-0002-7248-3529\")\n),\nperson(\ngiven = \"University of Sao Paulo (USP)\",\nrole = c(\"fnd\")\n)\n)",
  "Description": "A complete toolkit for processing the Munich ChronoType\nQuestionnaire (MCTQ) in its three versions: standard, micro,\nand shift. The MCTQ is a quantitative and validated tool used\nto assess chronotypes based on individuals' sleep behavior. It\nwas originally presented by Till Roenneberg, Anna Wirz-Justice,\nand Martha Merrow in 2003 (2003,\n<doi:10.1177/0748730402239679>).",
  "biocViews": "Infrastructure, Preprocessing, Visualization",
  "License": "MIT + file LICENSE",
  "URL": "https://docs.ropensci.org/mctq/, https://github.com/ropensci/mctq/",
  "BugReports": "https://github.com/ropensci/mctq/issues/",
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  "Encoding": "UTF-8",
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  "Repository": "https://ropensci.r-universe.dev",
  "Date/Publication": "2025-01-04 07:52:31 UTC",
  "RemoteUrl": "https://github.com/ropensci/mctq",
  "RemoteRef": "main",
  "RemoteSha": "f871eb3a79e3a118d65959b213e119b1873f4d7d",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-04-15 07:52:44 UTC",
    "User": "root"
  },
  "Author": "Daniel Vartanian [aut, cre, ccp, cph] (ORCID:\n<https://orcid.org/0000-0001-7782-759X>),\nAna Amelia Benedito Silva [sad] (ORCID:\n<https://orcid.org/0000-0003-4976-2623>),\nMario Pedrazzoli [sad] (ORCID: <https://orcid.org/0000-0002-5257-591X>),\nJonathan Keane [rev] (ORCID: <https://orcid.org/0000-0001-7087-9776>),\nMario Andre Leocadio-Miguel [rev] (ORCID:\n<https://orcid.org/0000-0002-7248-3529>),\nUniversity of Sao Paulo (USP) [fnd]",
  "Maintainer": "Daniel Vartanian <danvartan@gmail.com>",
  "MD5sum": "ff063f4c9222316118098a303edb28f4",
  "_user": "ropensci",
  "_type": "src",
  "_file": "mctq_0.3.2.9001.tar.gz",
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  "_created": "2026-04-15T07:52:44.000Z",
  "_published": "2026-04-28T13:37:43.741Z",
  "_distro": "noble",
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  "_tags": [],
  "_topics": [
    "infrastructure",
    "preprocessing",
    "visualization",
    "biological-rhythm",
    "chronobiology",
    "chronotype",
    "circadian-phenotype",
    "circadian-rhythm",
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  "_metadata": {
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  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
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    "extra/NEWS.html",
    "extra/NEWS.txt",
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    "manual.pdf"
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      "date": "2021-11-05"
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      "date": "2022-05-09"
    },
    {
      "version": "0.3.0",
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    },
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      "date": "2022-11-04"
    },
    {
      "version": "0.3.2",
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  ],
  "_exports": [
    "fd",
    "gu",
    "le_week",
    "msf_sc",
    "msl",
    "napd",
    "pretty_mctq",
    "random_mctq",
    "raw_data",
    "sd_overall",
    "sd_week",
    "sd24",
    "sdu",
    "sjl",
    "sjl_rel",
    "sjl_sc",
    "sjl_sc_rel",
    "sjl_weighted",
    "sloss_week",
    "so",
    "tbt"
  ],
  "_datasets": [
    {
      "name": "micro_mctq",
      "title": "A fictional muMCTQ dataset",
      "object": "micro_mctq",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "id",
        "shift_work",
        "wd",
        "fd",
        "so_w",
        "se_w",
        "sd_w",
        "msw",
        "so_f",
        "se_f",
        "sd_f",
        "msf",
        "sd_week",
        "sloss_week",
        "msf_sc",
        "sjl_rel",
        "sjl",
        "sjl_sc_rel",
        "sjl_sc"
      ],
      "rows": 50,
      "table": true,
      "tojson": true
    },
    {
      "name": "shift_mctq",
      "title": "A fictional MCTQ Shift dataset",
      "object": "shift_mctq",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "id",
        "n_w_m",
        "bt_w_m",
        "sprep_w_m",
        "slat_w_m",
        "so_w_m",
        "se_w_m",
        "tgu_w_m",
        "gu_w_m",
        "alarm_w_m",
        "reasons_w_m",
        "reasons_why_w_m",
        "sd_w_m",
        "tbt_w_m",
        "msw_m",
        "nap_w_m",
        "napo_w_m",
        "nape_w_m",
        "napd_w_m",
        "sd24_w_m",
        "n_f_m",
        "bt_f_m",
        "sprep_f_m",
        "slat_f_m",
        "so_f_m",
        "se_f_m",
        "tgu_f_m",
        "gu_f_m",
        "alarm_f_m",
        "reasons_f_m",
        "reasons_why_f_m",
        "sd_f_m",
        "tbt_f_m",
        "msf_m",
        "nap_f_m",
        "napo_f_m",
        "nape_f_m",
        "napd_f_m",
        "sd24_f_m",
        "sd_overall_m",
        "msf_sc_m",
        "sjl_rel_m",
        "sjl_m",
        "sjl_sc_rel_m",
        "sjl_sc_m",
        "n_w_e",
        "bt_w_e",
        "sprep_w_e",
        "slat_w_e",
        "so_w_e",
        "se_w_e",
        "tgu_w_e",
        "gu_w_e",
        "alarm_w_e",
        "reasons_w_e",
        "reasons_why_w_e",
        "sd_w_e",
        "tbt_w_e",
        "msw_e",
        "nap_w_e",
        "napo_w_e",
        "nape_w_e",
        "napd_w_e",
        "sd24_w_e",
        "n_f_e",
        "bt_f_e",
        "sprep_f_e",
        "slat_f_e",
        "so_f_e",
        "se_f_e",
        "tgu_f_e",
        "gu_f_e",
        "alarm_f_e",
        "reasons_f_e",
        "reasons_why_f_e",
        "sd_f_e",
        "tbt_f_e",
        "msf_e",
        "nap_f_e",
        "napo_f_e",
        "nape_f_e",
        "napd_f_e",
        "sd24_f_e",
        "sd_overall_e",
        "msf_sc_e",
        "sjl_rel_e",
        "sjl_e",
        "sjl_sc_rel_e",
        "sjl_sc_e",
        "n_w_n",
        "bt_w_n",
        "sprep_w_n",
        "slat_w_n",
        "so_w_n",
        "se_w_n",
        "tgu_w_n",
        "gu_w_n",
        "alarm_w_n",
        "reasons_w_n",
        "reasons_why_w_n",
        "sd_w_n",
        "tbt_w_n",
        "msw_n",
        "nap_w_n",
        "napo_w_n",
        "nape_w_n",
        "napd_w_n",
        "sd24_w_n",
        "n_f_n",
        "bt_f_n",
        "sprep_f_n",
        "slat_f_n",
        "so_f_n",
        "se_f_n",
        "tgu_f_n",
        "gu_f_n",
        "alarm_f_n",
        "reasons_f_n",
        "reasons_why_f_n",
        "sd_f_n",
        "tbt_f_n",
        "msf_n",
        "nap_f_n",
        "napo_f_n",
        "nape_f_n",
        "napd_f_n",
        "sd24_f_n",
        "sd_overall_n",
        "msf_sc_n",
        "sjl_rel_n",
        "sjl_n",
        "sjl_sc_rel_n",
        "sjl_sc_n",
        "sjl_weighted",
        "sjl_sc_weighted"
      ],
      "rows": 50,
      "table": true,
      "tojson": true
    },
    {
      "name": "std_mctq",
      "title": "A fictional standard MCTQ dataset",
      "object": "std_mctq",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "id",
        "work",
        "wd",
        "fd",
        "bt_w",
        "sprep_w",
        "slat_w",
        "so_w",
        "se_w",
        "si_w",
        "gu_w",
        "alarm_w",
        "wake_before_w",
        "sd_w",
        "tbt_w",
        "le_w",
        "msw",
        "bt_f",
        "sprep_f",
        "slat_f",
        "so_f",
        "se_f",
        "si_f",
        "gu_f",
        "alarm_f",
        "reasons_f",
        "reasons_why_f",
        "sd_f",
        "tbt_f",
        "le_f",
        "msf",
        "sd_week",
        "sloss_week",
        "le_week",
        "msf_sc",
        "sjl_rel",
        "sjl",
        "sjl_sc_rel",
        "sjl_sc"
      ],
      "rows": 50,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "fd",
      "title": "Compute MCTQ work-free days",
      "concept": [
        "MCTQ functions"
      ],
      "topics": [
        "fd"
      ]
    },
    {
      "page": "gu",
      "title": "Compute MCTQ local time of getting out of bed",
      "concept": [
        "MCTQ functions"
      ],
      "topics": [
        "gu"
      ]
    },
    {
      "page": "le_week",
      "title": "Compute MCTQ average weekly light exposure",
      "concept": [
        "MCTQ functions"
      ],
      "topics": [
        "le_week"
      ]
    },
    {
      "page": "micro_mctq",
      "title": "A fictional muMCTQ dataset",
      "concept": [
        "datasets"
      ],
      "topics": [
        "micro_mctq"
      ]
    },
    {
      "page": "msf_sc",
      "title": "Compute MCTQ sleep-corrected local time of mid-sleep on work-free days",
      "concept": [
        "MCTQ functions"
      ],
      "topics": [
        "msf_sc"
      ]
    },
    {
      "page": "msl",
      "title": "Compute MCTQ local time of mid-sleep",
      "concept": [
        "MCTQ functions"
      ],
      "topics": [
        "msf",
        "msl",
        "msw"
      ]
    },
    {
      "page": "napd",
      "title": "Compute MCTQ nap duration (only for MCTQ Shift)",
      "concept": [
        "MCTQ functions"
      ],
      "topics": [
        "napd"
      ]
    },
    {
      "page": "pretty_mctq",
      "title": "Make an MCTQ dataset more presentable",
      "concept": [
        "utility functions"
      ],
      "topics": [
        "pretty_mctq"
      ]
    },
    {
      "page": "random_mctq",
      "title": "Build a random MCTQ case",
      "concept": [
        "utility functions"
      ],
      "topics": [
        "random_mctq"
      ]
    },
    {
      "page": "raw_data",
      "title": "Get paths to 'mctq' raw datasets",
      "concept": [
        "utility functions"
      ],
      "topics": [
        "raw_data"
      ]
    },
    {
      "page": "sd_overall",
      "title": "Compute MCTQ overall sleep duration (only for MCTQ Shift)",
      "concept": [
        "MCTQ functions"
      ],
      "topics": [
        "sd_overall"
      ]
    },
    {
      "page": "sd_week",
      "title": "Compute MCTQ average weekly sleep duration",
      "concept": [
        "MCTQ functions"
      ],
      "topics": [
        "sd_week"
      ]
    },
    {
      "page": "sd24",
      "title": "Compute MCTQ 24 hours sleep duration (only for MCTQ Shift)",
      "concept": [
        "MCTQ functions"
      ],
      "topics": [
        "sd24"
      ]
    },
    {
      "page": "sdu",
      "title": "Compute MCTQ sleep duration",
      "concept": [
        "MCTQ functions"
      ],
      "topics": [
        "sdu"
      ]
    },
    {
      "page": "shift_mctq",
      "title": "A fictional MCTQ Shift dataset",
      "concept": [
        "datasets"
      ],
      "topics": [
        "shift_mctq"
      ]
    },
    {
      "page": "sjl",
      "title": "Compute MCTQ social jetlag",
      "concept": [
        "MCTQ functions"
      ],
      "topics": [
        "sjl",
        "sjl_rel"
      ]
    },
    {
      "page": "sjl_sc",
      "title": "Compute Jankowski's MCTQ sleep-corrected social jetlag",
      "concept": [
        "MCTQ functions"
      ],
      "topics": [
        "sjl_sc",
        "sjl_sc_rel"
      ]
    },
    {
      "page": "sjl_weighted",
      "title": "Compute MCTQ absolute social jetlag across all shifts",
      "concept": [
        "MCTQ functions"
      ],
      "topics": [
        "sjl_weighted"
      ]
    },
    {
      "page": "sloss_week",
      "title": "Compute MCTQ weekly sleep loss",
      "topics": [
        "sloss_week"
      ]
    },
    {
      "page": "so",
      "title": "Compute MCTQ local time of sleep onset",
      "concept": [
        "MCTQ functions"
      ],
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