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 DOI: 10.32614/CRAN.package.cvcrand 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 trialsPlease use the canonical form https://CRAN.R-project.org/package=cvcrand to link to this page.
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