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-devel (arm64): drugprepr_0.0.4.tgz, r-release (arm64): drugprepr_0.0.4.tgz, r-oldrel (arm64): drugprepr_0.0.4.tgz, r-devel (x86_64): drugprepr_0.0.4.tgz, r-release (x86_64): drugprepr_0.0.4.tgz, r-oldrel (x86_64): drugprepr_0.0.4.tgz

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