DQAstats: Core Functions for Data Quality Assessment

Perform data quality assessment ('DQA') of electronic health records ('EHR'). Publication: Kapsner et al. (2021) <doi:10.1055/s-0041-1733847>.

Version: 0.3.1
Imports: data.table, DIZtools (≥ 0.0.5), DIZutils (≥ 0.1.1), future, future.apply, jsonlite, kableExtra, knitr, magrittr, parsedate, rmarkdown, stats, tinytex, utils
Suggests: DT, lintr, remotes, testthat (≥ 3.0.0)
Published: 2022-06-27
Author: Lorenz A. Kapsner ORCID iD [cre, aut], Jonathan M. Mang ORCID iD [aut], MIRACUM - Medical Informatics in Research and Care in University Medicine [fnd], Universitätsklinikum Erlangen [cph]
Maintainer: Lorenz A. Kapsner <lorenz.kapsner at uk-erlangen.de>
BugReports: https://github.com/miracum/dqa-dqastats/issues
License: GPL-3
URL: https://github.com/miracum/dqa-dqastats
NeedsCompilation: no
Citation: DQAstats citation info
CRAN checks: DQAstats results

Documentation:

Reference manual: DQAstats.pdf
Vignettes: DQAstats2SHIPdataset

Downloads:

Package source: DQAstats_0.3.1.tar.gz
Windows binaries: r-devel: DQAstats_0.3.1.zip, r-release: DQAstats_0.3.1.zip, r-oldrel: DQAstats_0.3.0.zip
macOS binaries: r-release (arm64): DQAstats_0.3.1.tgz, r-oldrel (arm64): DQAstats_0.3.1.tgz, r-release (x86_64): DQAstats_0.3.1.tgz, r-oldrel (x86_64): DQAstats_0.3.1.tgz
Old sources: DQAstats archive

Reverse dependencies:

Reverse imports: DQAgui

Linking:

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