REDCapCAST/DESCRIPTION

Package: REDCapCAST
Title: REDCap Castellated Data Handling
Version: 23.6.1
Authors@R: c(
    person("Andreas Gammelgaard", "Damsbo", email = "agdamsbo@clin.au.dk", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-7559-1154")),
           person("Paul", "Egeler", email = "paul.egeler@spectrumhealth.org", role = "aut"))
Description: Forked from 'REDCapRITS' by Paul Egeler and Spectrum Health. 
    See <https://github.com/SpectrumHealthResearch/REDCapRITS>.
    Handles castellated datasets from 'REDCap' projects with repeating instruments. 
    Assists in casting tidy tables from raw 'REDCap' data exports for each 
    repeated instrument. Keeps a focused data export approach, by allowing to 
    only export required data from the database.
    'REDCap' (Research Electronic Data Capture) is a secure, web-based software
    platform designed to support data capture for research studies, providing
    1) an intuitive interface for validated data capture; 2) audit trails for
    tracking data manipulation and export procedures; 3) automated export
    procedures for seamless data downloads to common statistical packages; and
    4) procedures for data integration and interoperability with external sources
    (Harris et al (2009) <doi:10.1016/j.jbi.2008.08.010>; 
    Harris et al (2019) <doi:10.1016/j.jbi.2019.103208>).
Depends: R (>= 3.4.0)
Suggests:
    spelling,
    RCurl,
    httr,
    jsonlite,
    testthat,
    Hmisc,
    readr,
    covr,
    knitr,
    rmarkdown,
    gt,
    keyring
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
URL: https://github.com/agdamsbo/REDCapCAST, https://agdamsbo.github.io/REDCapCAST/
BugReports: https://github.com/agdamsbo/REDCapCAST/issues
Imports: 
    dplyr,
    REDCapR,
    tidyr,
    tidyselect
Collate: 
    'utils.r'
    'process_user_input.r'
    'REDCap_split.r'
    'read_redcap_tables.R'
    'redcap_wider.R'
    'redcapcast_data.R'
    'redcapcast_meta.R'
Language: en-US
VignetteBuilder: knitr