Package: rcprd
Title: Extraction and Management of Clinical Practice Research Datalink
        Data
Version: 0.0.2
Authors@R: 
  c(person(given = "Alexander", family = "Pate", email = "alexander.pate@manchester.ac.uk", role = c("aut", "cre", "cph"),
         comment = c(ORCID = "0000-0002-0849-3458")))
Description: Simplify the process of extracting and processing Clinical
        Practice Research Datalink (CPRD) data in order to build
        datasets ready for statistical analysis. This process is
        difficult in 'R', as the raw data is very large and cannot be
        read into the R workspace. 'rcprd' utilises 'RSQLite' to create
        'SQLite' databases which are stored on the hard disk. These are
        then queried to extract the required information for a cohort
        of interest, and create datasets ready for statistical
        analysis. The processes follow closely that from the 'rEHR'
        package, see Springate et al., (2017)
        <doi:10.1371/journal.pone.0171784>.
License: MIT + file LICENSE
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
Imports: dplyr, data.table, fastmatch, lubridate, RSQLite, stringr
Config/testthat/edition: 3
URL: https://alexpate30.github.io/rcprd/
Config/pak/sysreqs: libicu-dev
Repository: https://alexpate30.r-universe.dev
Date/Publication: 2026-05-21 21:15:01 UTC
RemoteUrl: https://github.com/alexpate30/rcprd
RemoteRef: HEAD
RemoteSha: 0817decda29d7ef0aa7166e2b16f82831e5d9afb
NeedsCompilation: no
Packaged: 2026-07-21 08:24:06 UTC; root
Author: Alexander Pate [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0002-0849-3458>)
Maintainer: Alexander Pate <alexander.pate@manchester.ac.uk>