DESCRIPTION

Package: cleanepi
Title: Clean and Standardize Epidemiological Data
Version: 1.0.2.9000
Authors@R: c(
    person("Karim", "Mané", , "karim.mane@lshtm.ac.uk", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-9892-2999")),
    person("Thibaut", "Jombart", , "thibautjombart@gmail.com", role = "ctb",
           comment = c("Thibault contributed in development of date_guess().")),
    person("Abdoelnaser", "Degoot", , "abdoelnaser-mahmood.degoot@lshtm.ac.uk", role = "aut", 
          comment = c(ORCID = "0000-0001-8788-2496")),
    person("Bankolé", "Ahadzie", , "Bankole.Ahadzie@lshtm.ac.uk", role = "aut"),
    person("Nuredin", "Mohammed", , "Nuredin.Mohammed@lshtm.ac.uk", role = "aut"),
    person("Bubacarr", "Bah", , "Bubacarr.Bah1@lshtm.ac.uk", role = "aut",
           comment = c(ORCID = "0000-0003-3318-6668")),
    person("Hugo", "Gruson", , "hugo@data.org", role = c("ctb", "rev"), 
          comment = c(ORCID = "0000-0002-4094-1476")),
    person("Pratik R.", "Gupte", , "pratik.gupte@lshtm.ac.uk", role ="rev",
           comment = c(ORCID = "0000-0001-5294-7819")),
    person("James M.", "Azam", , "james.azam@lshtm.ac.uk", role = "rev",
           comment = c(ORCID = "0000-0001-5782-7330")),
    person("Joshua W.", "Lambert", , "joshua.lambert@lshtm.ac.uk", role = "rev",
           comment = c(ORCID = "0000-0001-5218-3046")),
    person("Chris", "Hartgerink", , "chris@data.org", role = "rev",
           comment = c(ORCID = "0000-0003-1050-6809")),
    person("Andree", "Valle-Campos", , "avallecam@gmail.com", role = c("rev", "ctb")),
    person("London School of Hygiene and Tropical Medicine, LSHTM", role = "cph",
           comment = c(ROR = "00a0jsq62")),
    person("data.org", role = "fnd")
  )
Description: Cleaning and standardizing tabular data package, tailored
    specifically for curating epidemiological data. It streamlines various data
    cleaning tasks that are typically expected when working with datasets in
    epidemiology. It returns the processed data in the same format, ensuring
    seamless integration into existing workflows. Additionally, it generates a
    comprehensive report detailing the outcomes of each cleaning task.
License: MIT + file LICENSE
URL: https://epiverse-trace.github.io/cleanepi/,
    https://github.com/epiverse-trace/cleanepi
BugReports: https://github.com/epiverse-trace/cleanepi/issues
Depends:
    R (>= 4.0.0)
Imports:
    checkmate,
    cli,
    dplyr,
    janitor,
    linelist (>= 1.0.0),
    lubridate,
    magrittr,
    matchmaker,
    numberize,
    readr,
    rlang,
    tibble,
    utils
Suggests: 
    htmlwidgets,
    kableExtra,
    knitr,
    lintr,
    markdown,
    reactable,
    rmarkdown,
    spelling,
    testthat (>= 3.0.0)
VignetteBuilder: 
    knitr
Config/Needs/website: epiverse-trace/epiversetheme
Config/testthat/edition: 3
Config/potools/style: explicit
Encoding: UTF-8
Language: en-US
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2.9000