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randomizr: Easy-to-Use Tools for Common Forms of Random Assignment and Sampling

Generates random assignments for common experimental designs and random samples for common sampling designs.

Version: 1.0.0
Depends: R (≥ 3.5.0)
Suggests: knitr, dplyr, testthat, rmarkdown
Published: 2023-08-10
DOI: 10.32614/CRAN.package.randomizr
Author: Alexander Coppock ORCID iD [aut, cre], Jasper Cooper ORCID iD [ctb], Neal Fultz [ctb] (C version of restricted partitions), Graeme Blair ORCID iD [ctb]
Maintainer: Alexander Coppock <acoppock at gmail.com>
BugReports: https://github.com/DeclareDesign/randomizr/issues
License: MIT + file LICENSE
URL: https://declaredesign.org/r/randomizr/, https://github.com/DeclareDesign/randomizr
NeedsCompilation: yes
Materials: NEWS
CRAN checks: randomizr results

Documentation:

Reference manual: randomizr.pdf
Vignettes: Design and Analysis of Experiments with randomizr

Downloads:

Package source: randomizr_1.0.0.tar.gz
Windows binaries: r-devel: randomizr_1.0.0.zip, r-release: randomizr_1.0.0.zip, r-oldrel: randomizr_1.0.0.zip
macOS binaries: r-release (arm64): randomizr_1.0.0.tgz, r-oldrel (arm64): randomizr_1.0.0.tgz, r-release (x86_64): randomizr_1.0.0.tgz, r-oldrel (x86_64): randomizr_1.0.0.tgz
Old sources: randomizr archive

Reverse dependencies:

Reverse depends: DeclareDesign, DesignLibrary, ri2
Reverse imports: Counternull, PUMP, radiant.data, radiant.design
Reverse suggests: estimatr

Linking:

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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.