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: 0.1.0
Depends: R (≥ 3.5)
Imports: admiraldev, assertthat (≥ 0.2.1), dplyr (≥ 1.0.5), lubridate (≥ 1.7.4), magrittr (≥ 1.5), purrr (≥ 0.3.3), stringr, rlang (≥ 0.4.4), tibble
Suggests: devtools, lintr, pkgdown, testthat, knitr, methods, rmarkdown, roxygen2, spelling, styler, usethis, covr
Published: 2023-03-31
DOI: 10.32614/CRAN.package.datacutr
Author: Tim Barnett [cph, aut, cre], Nathan Rees [aut], Alana Harris [aut]
Maintainer: Tim Barnett <timothy.barnett at>
License: Apache License (≥ 2)
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: datacutr results


Reference manual: datacutr.pdf
Vignettes: Contribution to {datacutr}
Get Started
Example Modular Approach
Example Wrapped Approach
Modular Approach
Applying a Variable Date Cut
Wrapped Approach


Package source: datacutr_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): datacutr_0.1.0.tgz, r-oldrel (arm64): datacutr_0.1.0.tgz, r-release (x86_64): datacutr_0.1.0.tgz, r-oldrel (x86_64): datacutr_0.1.0.tgz


Please use the canonical form to link to this page.