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CRAN: Package datacutr

datacutr: SDTM Datacut

Supports the process of applying a cut to Standard Data Tabulation Model (SDTM), as part of the analysis of specific points in time of the data, normally as part of investigation into clinical trials. The functions support different approaches of cutting to the different domains of SDTM normally observed.

Version: 0.2.4
Depends: R (≥ 4.1)
Imports: admiraldev (≥ 0.3.0), assertthat (≥ 0.2.1), dplyr (≥ 1.0.5), lubridate (≥ 1.7.4), magrittr (≥ 1.5), purrr (≥ 0.3.3), stringr (≥ 1.4.0), rlang (≥ 0.4.4), tibble (≥ 3.0.0), reactable (≥ 0.4.4)
Suggests: devtools, pkgdown, testthat, knitr, methods, rmarkdown, roxygen2, spelling, usethis, covr, DT, cyclocomp
Published: 2025-11-14
DOI: 10.32614/CRAN.package.datacutr
Author: Tim Barnett [cph, aut, cre], Nathan Rees [aut], Alana Harris [aut], Cara Andrews [aut]
Maintainer: Tim Barnett <timothy.barnett at roche.com>
BugReports: https://github.com/pharmaverse/datacutr/issues
License: Apache License (≥ 2)
URL: https://pharmaverse.github.io/datacutr/, https://github.com/pharmaverse/datacutr
NeedsCompilation: no
Language: en-US
Materials: README, NEWS
CRAN checks: datacutr results

Documentation:

Reference manual: datacutr.html , datacutr.pdf
Vignettes: Contribution to {datacutr} (source, R code)
Get Started (source, R code)
Example Modular Approach (source, R code)
Example Wrapped Approach (source, R code)
Modular Approach (source, R code)
Applying a Variable Date Cut (source, R code)
Wrapped Approach (source, R code)

Downloads:

Package source: datacutr_0.2.4.tar.gz
Windows binaries: r-devel: datacutr_0.2.4.zip, r-release: datacutr_0.2.4.zip, r-oldrel: datacutr_0.2.4.zip
macOS binaries: r-release (arm64): datacutr_0.2.4.tgz, r-oldrel (arm64): datacutr_0.2.4.tgz, r-release (x86_64): datacutr_0.2.4.tgz, r-oldrel (x86_64): datacutr_0.2.4.tgz
Old sources: datacutr archive

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