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drugprepr: Prepare Electronic Prescription Record Data to Estimate Drug Exposure

Prepare prescription data (such as from the Clinical Practice Research Datalink) into an analysis-ready format, with start and stop dates for each patient's prescriptions. Based on Pye et al (2018) <doi:10.1002/pds.4440>.

Version: 0.0.4
Depends: R (≥ 2.10)
Imports: dplyr, doseminer, rlang, tidyr, sqldf, stringr, purrr, DescTools
Suggests: knitr, rmarkdown, testthat, kableExtra
Published: 2021-11-09
DOI: 10.32614/CRAN.package.drugprepr
Author: Belay Birlie Yimer ORCID iD [aut], David Selby ORCID iD [aut, cre], Meghna Jani [aut], Goran Nenadic [aut], Mark Lunt [aut], William G. Dixon [aut]
Maintainer: David Selby <David.Selby at manchester.ac.uk>
BugReports: https://github.com/belayb/drugprepr/issues
License: MIT + file LICENSE
NeedsCompilation: no
Language: en-GB
Materials: README NEWS
CRAN checks: drugprepr results

Documentation:

Reference manual: drugprepr.pdf
Vignettes: introduction

Downloads:

Package source: drugprepr_0.0.4.tar.gz
Windows binaries: r-devel: drugprepr_0.0.4.zip, r-release: drugprepr_0.0.4.zip, r-oldrel: drugprepr_0.0.4.zip
macOS binaries: r-release (arm64): drugprepr_0.0.4.tgz, r-oldrel (arm64): drugprepr_0.0.4.tgz, r-release (x86_64): drugprepr_0.0.4.tgz, r-oldrel (x86_64): drugprepr_0.0.4.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=drugprepr to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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