covadap: Implement Covariate-Adaptive Randomization

Implementing seven Covariate-Adaptive Randomization to assign patients to two treatments. Three of these procedures can also accommodate quantitative and mixed covariates. Given a set of covariates, the user can generate a single sequence of allocations or replicate the design multiple times by simulating the patients' covariate profiles. At the end, an extensive assessment of the performance of the randomization procedures is provided, calculating several imbalance measures. See Baldi Antognini A, Frieri R, Zagoraiou M and Novelli M (2022) <doi:10.1007/s00362-022-01381-1> for details.

Version: 1.0.1
Imports: stats
Published: 2023-12-06
Author: Rosamarie Frieri [aut, cre], Marco Novelli [aut]
Maintainer: Rosamarie Frieri <rosamarie.frieri2 at unibo.it>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: covadap results

Documentation:

Reference manual: covadap.pdf

Downloads:

Package source: covadap_1.0.1.tar.gz
Windows binaries: r-devel: covadap_1.0.1.zip, r-release: covadap_1.0.1.zip, r-oldrel: covadap_1.0.1.zip
macOS binaries: r-release (arm64): covadap_1.0.1.tgz, r-oldrel (arm64): covadap_1.0.1.tgz, r-release (x86_64): covadap_1.0.1.tgz

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