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: 0.2.6
Imports: data.table, DIZtools, DIZutils (≥ 0.0.13), future, future.apply, jsonlite, kableExtra, knitr, magrittr, parsedate, rmarkdown, stats, tinytex, utils
Suggests: lintr, remotes, testthat
Published: 2022-03-02
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
Materials: README
CRAN checks: DQAstats results

Documentation:

Reference manual: DQAstats.pdf

Downloads:

Package source: DQAstats_0.2.6.tar.gz
Windows binaries: r-devel: DQAstats_0.2.6.zip, r-release: DQAstats_0.2.6.zip, r-oldrel: DQAstats_0.2.6.zip
macOS binaries: r-release (arm64): DQAstats_0.2.6.tgz, r-oldrel (arm64): DQAstats_0.2.6.tgz, r-release (x86_64): DQAstats_0.2.6.tgz, r-oldrel (x86_64): DQAstats_0.2.6.tgz
Old sources: DQAstats archive

Reverse dependencies:

Reverse imports: DQAgui

Linking:

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