randomizeR: Randomization for Clinical Trials

This tool enables the user to choose a randomization procedure based on sound scientific criteria. It comprises the generation of randomization sequences as well the assessment of randomization procedures based on carefully selected criteria. Furthermore, 'randomizeR' provides a function for the comparison of randomization procedures.

Version: 3.0.2
Depends: R (≥ 3.6.0), methods, ggplot2, plotrix, survival, mvtnorm
Imports: mstate, purrr, rlang, magrittr, dplyr, coin, PwrGSD, gsDesign, insight, reshape2
Suggests: testthat, knitr
Published: 2023-09-18
DOI: NA
Author: David Schindler [aut], Diane Uschner [aut], Denis Razsolkov [ctb], Dimitar Mihaylov [ctb], Marcia Viviane Rueckbeil [ctb], Martin Manolov [ctb], Thi Mui Pham [ctb], Michael Martini [ctb], Ralf-Dieter Hilgers [aut, ths, cre], Nicole Heussen [aut, ths], Daniel Bodden [ctb]
Maintainer: Ralf-Dieter Hilgers <rhilgers at ukaachen.de>
License: GPL (≥ 3)
NeedsCompilation: no
Citation: randomizeR citation info
Materials: README
In views: ClinicalTrials
CRAN checks: randomizeR results

Documentation:

Reference manual: randomizeR.pdf

Downloads:

Package source: randomizeR_3.0.2.tar.gz
Windows binaries: r-devel: randomizeR_3.0.2.zip, r-release: randomizeR_3.0.2.zip, r-oldrel: randomizeR_3.0.2.zip
macOS binaries: r-release (arm64): randomizeR_3.0.2.tgz, r-oldrel (arm64): randomizeR_3.0.2.tgz, r-release (x86_64): randomizeR_3.0.2.tgz, r-oldrel (x86_64): randomizeR_3.0.2.tgz
Old sources: randomizeR archive

Linking:

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