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dunlin: Preprocessing Tools for Clinical Trial Data

A collection of functions to preprocess data and organize them in a format amenable to use by chevron.

Version: 0.1.7
Depends: R (≥ 4.0.0)
Imports: checkmate (≥ 2.1.0), dplyr (≥ 1.1.0), forcats (≥ 1.0.0), glue (≥ 1.0.0), magrittr (≥ 1.5), methods, rlang (≥ 1.0.0), stringr (≥ 1.4.1), tibble (≥ 1.2), yaml (≥ 2.1.15)
Suggests: knitr (≥ 1.42), rmarkdown (≥ 2.19), testthat (≥ 3.0.4), withr (≥ 2.1.0)
Published: 2023-12-13
Author: Liming Li [aut, cre], Benoit Falquet [aut], Xiaoli Duan [ctb], Pawel Rucki [ctb], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Liming Li <liming.li at roche.com>
BugReports: https://github.com/insightsengineering/dunlin/issues
License: Apache License 2.0
URL: https://insightsengineering.github.io/dunlin/, https://github.com/insightsengineering/dunlin/
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: dunlin results

Documentation:

Reference manual: dunlin.pdf
Vignettes: Reformatting

Downloads:

Package source: dunlin_0.1.7.tar.gz
Windows binaries: r-devel: dunlin_0.1.7.zip, r-release: dunlin_0.1.7.zip, r-oldrel: dunlin_0.1.7.zip
macOS binaries: r-release (arm64): dunlin_0.1.7.tgz, r-oldrel (arm64): dunlin_0.1.7.tgz, r-release (x86_64): dunlin_0.1.7.tgz, r-oldrel (x86_64): dunlin_0.1.7.tgz

Reverse dependencies:

Reverse imports: chevron

Linking:

Please use the canonical form https://CRAN.R-project.org/package=dunlin to link to this page.

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.
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