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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 roche.com> |
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: datacutr_0.1.0.zip, r-release: datacutr_0.1.0.zip, r-oldrel: datacutr_0.1.0.zip |
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 |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.