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ExpDesignR: Experimental Design and Randomization Methods for Biomedical and Veterinary Research

Provides reproducible methods for experimental design and treatment allocation in biomedical, veterinary, agricultural, and clinical research. Includes simple, fixed-block, variable-block, stratified, stratified-block, cluster, matched-pair, restricted, minimization, and covariate-adaptive randomization, together with completely randomized, randomized-block, factorial, split-plot, Latin square, and crossover designs. Also provides allocation summaries, balance diagnostics, schedule export, and visualization. The methods are based on established principles of randomization and experimental design; see Rosenberger and Lachin (2015, ISBN:9781118742242) and Jones and Kenward (2014, ISBN:9781439861424).

Version: 1.0.0
Depends: R (≥ 4.2.0)
Imports: dplyr, ggplot2, rlang, stats, tibble, utils
Suggests: covr, knitr, rmarkdown, spelling, testthat (≥ 3.0.0)
Published: 2026-09-01
DOI: 10.32614/CRAN.package.ExpDesignR
Author: Vinodhkumar Obli Rajendran [aut, cre], Keerthi Aaradhana [aut]
Maintainer: Vinodhkumar Obli Rajendran <vinodhkumar.rajendran at gmail.com>
BugReports: https://github.com/vinodhpmd/ExpDesignR/issues
License: MIT + file LICENSE
URL: https://github.com/vinodhpmd/ExpDesignR
NeedsCompilation: no
Language: en-US
Materials: README, NEWS
CRAN checks: ExpDesignR results

Documentation:

Reference manual: ExpDesignR.html , ExpDesignR.pdf
Vignettes: Getting Started with ExpDesignR (source, R code)

Downloads:

Package source: ExpDesignR_1.0.0.tar.gz
Windows binaries: r-devel: ExpDesignR_1.0.0.zip, r-release: ExpDesignR_1.0.0.zip, r-oldrel: ExpDesignR_1.0.0.zip
macOS binaries: r-release (arm64): ExpDesignR_1.0.0.tgz, r-oldrel (arm64): ExpDesignR_1.0.0.tgz, r-release (x86_64): ExpDesignR_1.0.0.tgz, r-oldrel (x86_64): ExpDesignR_1.0.0.tgz
Old sources: ExpDesignR archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ExpDesignR 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.