Package: LightLogR
Title: Process Data from Wearable Light Loggers and Optical Radiation
        Dosimeters
Version: 0.10.6
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("Steffen", "Hartmeyer", 
      email = "steffen.hartmeyer@epfl.ch", role = "aut",
      comment = c(ORCID = "0000-0002-2813-2668")),
    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("Wellcome Trust", role = "fnd", comment = c("LightLogR's development is supported by the Wellcome Trust (wellcome.org), 226787/Z/22/Z.")),
    person("Reality Labs Research", role = "fnd", comment = "LightLogR's development is supported by the GLEE project (Global Light Exposure Engine, www.visualdiet.org) funded by Reality Labs Research."),    
    person("Translational Sensory and Circadian Neuroscience Unit (MPS/TUM/TUMCREATE)", comment = c(URL = "www.tscnlab.org"), role = "cph"))
Description: Import, processing, validation, and visualization of
        personal light exposure measurement data from wearable devices.
        The package implements features such as the import of data and
        metadata files, conversion of common file formats, validation
        of light logging data, verification of crucial metadata,
        calculation of common parameters, and semi-automated analysis
        and visualization.
License: MIT + file LICENSE
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
URL: https://github.com/tscnlab/LightLogR,
        https://tscnlab.github.io/LightLogR/,
        https://zenodo.org/doi/10.5281/zenodo.11562600
BugReports: https://github.com/tscnlab/LightLogR/issues
Imports: circular, cowplot, dplyr (>= 1.2.0), ggplot2, ggsci, ggtext
        (>= 0.2.0), gt, gtExtras, hms, lifecycle, lubridate, magrittr,
        purrr, readr, rlang, scales, slider, stringr, suntools, tibble,
        tidyr
Depends: R (>= 4.3)
LazyData: true
Suggests: covr, flextable, gghighlight, gtsummary, knitr, plotly,
        patchwork, pkgload, rmarkdown, rsconnect, testthat (>= 3.0.0),
        tidyverse
Config/testthat/edition: 3
Config/Needs/website: rmarkdown
Config/pak/sysreqs: libabsl-dev cmake libgdal-dev gdal-bin libgeos-dev
        make libicu-dev libjpeg-dev libpng-dev libuv1-dev libxml2-dev
        libssl-dev libproj-dev libsqlite3-dev libudunits2-dev
        libnode-dev libx11-dev
Repository: https://tscnlab.r-universe.dev
Date/Publication: 2026-09-30 15:58:56 UTC
RemoteUrl: https://github.com/tscnlab/lightlogr
RemoteRef: HEAD
RemoteSha: fd0b5c66b2a2cc201161705efae8e9648caec6b2
NeedsCompilation: no
Packaged: 2026-09-30 19:47:52 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>),
  Steffen Hartmeyer [aut] (ORCID:
    <https://orcid.org/0000-0002-2813-2668>),
  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.),
  Wellcome Trust [fnd] (LightLogR's development is supported by the
    Wellcome Trust (wellcome.org), 226787/Z/22/Z.),
  Reality Labs Research [fnd] (LightLogR's development is supported by
    the GLEE project (Global Light Exposure Engine, www.visualdiet.org)
    funded by Reality Labs Research.),
  Translational Sensory and Circadian Neuroscience Unit
    (MPS/TUM/TUMCREATE) [cph] (URL: www.tscnlab.org)
Maintainer: Johannes Zauner <johannes.zauner@tum.de>