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rcprd  

Extraction and Management of Clinical Practice Research Datalink Data
View on CRAN: Click here


Download and install rcprd package within the R console
Install from CRAN:
install.packages("rcprd")

Install from Github:
library("remotes")
install_github("cran/rcprd")

Install by package version:
library("remotes")
install_version("rcprd", "0.0.2")



Attach the package and use:
library("rcprd")
Maintained by
Alexander Pate
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-11-13
Latest Update: 2024-11-13
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 thenqueried to extract the required information for a cohort of interest, and create datasets ready for statistical analysis. Theprocesses follow closely that from the 'rEHR' package, see Springate et al., (2017) <doi:10.1371/journal.pone.0171784>.
How to cite:
Alexander Pate (2024). rcprd: Extraction and Management of Clinical Practice Research Datalink Data. R package version 0.0.2, https://cran.r-project.org/web/packages/rcprd. Accessed 21 Aug. 2026.
Previous versions and publish date:
(2026-07-09 06:49), 0.0.1 (2024-11-13 15:00)
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Complete documentation for rcprd
Functions, R codes and Examples using the rcprd R package
Full rcprd package functions and examples
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