cvcrand: Efficient Design and Analysis of Cluster Randomized Trials

Constrained randomization by Raab and Butcher (2001) <doi:10.1002/1097-0258(20010215)20:3%3C351::AID-SIM797%3E3.0.CO;2-C> is suitable for cluster randomized trials (CRTs) with a small number of clusters (e.g., 20 or fewer). The procedure of constrained randomization is based on the baseline values of some cluster-level covariates specified. The intervention effect on the individual outcome can then be analyzed through clustered permutation test introduced by Gail, et al. (1996) <doi:10.1002/(SICI)1097-0258(19960615)15:11%3C1069::AID-SIM220%3E3.0.CO;2-Q>. Motivated from Li, et al. (2016) <doi:10.1002/sim.7410>, the package performs constrained randomization on the baseline values of cluster-level covariates and clustered permutation test on the individual-level outcomes for cluster randomized trials.

Version:	0.1.1
Depends:	R (≥ 3.4.0)
Imports:	tableone
Suggests:	knitr, rmarkdown
Published:	2023-09-17
Author:	Hengshi Yu [aut, cre], Fan Li [aut], John A. Gallis [aut], Elizabeth L. Turner [aut]
Maintainer:	Hengshi Yu <hengshi at umich.edu>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	cvcrand results

Documentation:

Reference manual:	cvcrand.pdf
Vignettes:	cvcrand package for the design and analysis of cluster randomized trials

Downloads:

Package source:	cvcrand_0.1.1.tar.gz
Windows binaries:	r-devel: cvcrand_0.1.1.zip, r-release: cvcrand_0.1.1.zip, r-oldrel: cvcrand_0.1.1.zip
macOS binaries:	r-release (arm64): cvcrand_0.1.1.tgz, r-oldrel (arm64): cvcrand_0.1.1.tgz, r-release (x86_64): cvcrand_0.1.1.tgz, r-oldrel (x86_64): cvcrand_0.1.1.tgz
Old sources:	cvcrand archive

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