Package: melidosData
Title: Load Data from the MeLiDos Field Study
Version: 1.0.6
Authors@R: c(
    person("Johannes", "Zauner", 
      email = "johannes.zauner@tum.de", role = c("aut", "cre"),
      comment = c(ORCID = "0000-0003-2171-4566")),
    person("Manuel", "Spitschan", 
      email = "manuel.spitschan@tum.de", role = "aut",
      comment = c(ORCID = "0000-0002-8572-9268")),
    person("European Partnership on Metrology", role = "fnd", comment = "The project (22NRM05 MeLiDos) has received funding from the European Partnership on Metrology, co-financed by the European Union's Horizon Europe Research and Innovation Programme, EURAMET, and the Participating States. Views and opinions expressed are those of the authors and do not necessarily reflect those of the European Union or EURAMET."),
    person("Translational Sensory and Circadian Neuroscience Unit (MPS/TUM/TUMCREATE)", comment = c(URL = "www.tscnlab.org"), role = "cph"))
Description: In the MeLiDos field study, personal light exposure data
        were collected in 9 sites, 7 countries, and 196 participants
        following the Guidolin et al. (2024)
        <doi:10.1186/s12889-024-20206-4> protocol. Data originate from
        wearable devices collecting personal light exposure at the eye
        level, chest, and the wrist. Questionnaires were collected via
        'REDCap' and contain demographic information as well as
        chronotype, current conditions, sleep diaries, wear logs, and
        many more. This package makes loading the data from the
        respective repositories (<https://github.com/MeLiDosProject>)
        into R a breeze. It further contains some quality of life
        functions for label handling and data from 'REDCap'.
License: MIT + file LICENSE
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Depends: R (>= 4.1.0)
LazyData: true
Imports: dplyr, hms, lubridate, purrr, rlang, stringr, tibble
Suggests: gt, LightLogR, testthat (>= 3.0.0), vroom
Config/testthat/edition: 3
URL: https://melidosproject.github.io/melidosData/,
        https://github.com/MeLiDosProject/melidosData,
        https://github.com/MeLiDosProject
BugReports: https://github.com/MeLiDosProject/melidosData/issues
Config/pak/sysreqs: libicu-dev
Repository: https://melidosproject.r-universe.dev
Date/Publication: 2026-04-23 06:09:46 UTC
RemoteUrl: https://github.com/melidosproject/melidosdata
RemoteRef: HEAD
RemoteSha: 39b95772e6308c7e486483270bdafffda0ce65a4
NeedsCompilation: no
Packaged: 2026-06-22 09:06:18 UTC; root
Author: Johannes Zauner [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-2171-4566>),
  Manuel Spitschan [aut] (ORCID: <https://orcid.org/0000-0002-8572-9268>),
  European Partnership on Metrology [fnd] (The project (22NRM05 MeLiDos)
    has received funding from the European Partnership on Metrology,
    co-financed by the European Union's Horizon Europe Research and
    Innovation Programme, EURAMET, and the Participating States. Views
    and opinions expressed are those of the authors and do not
    necessarily reflect those of the European Union or EURAMET.),
  Translational Sensory and Circadian Neuroscience Unit
    (MPS/TUM/TUMCREATE) [cph] (URL: www.tscnlab.org)
Maintainer: Johannes Zauner <johannes.zauner@tum.de>