# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "rcprd" in publications use:' type: software license: MIT title: 'rcprd: Extraction and Management of Clinical Practice Research Datalink Data' version: 0.0.1 doi: 10.32614/CRAN.package.rcprd abstract: 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) . authors: - family-names: Pate given-names: Alexander email: alexander.pate@manchester.ac.uk orcid: https://orcid.org/0000-0002-0849-3458 repository: https://alexpate30.r-universe.dev commit: d60e2c38f3c8bfe4f196db31ec80f129d5d692c0 url: https://alexpate30.github.io/rcprd/ contact: - family-names: Pate given-names: Alexander email: alexander.pate@manchester.ac.uk orcid: https://orcid.org/0000-0002-0849-3458