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 cluster permutation test on the individual-level outcome for cluster randomized trials.
| Version: | 0.0.2 |
| Depends: | R (≥ 3.4.0) |
| Imports: | tableone |
| Suggests: | knitr, rmarkdown |
| Published: | 2018-04-16 |
| Author: | Hengshi Yu [aut, cre], John A. Gallis [aut], Fan Li [aut], Elizabeth L. Turner [aut] |
| Maintainer: | Hengshi Yu <hengshi at umich.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | cvcrand results |
| Reference manual: | cvcrand.pdf |
| Vignettes: |
cvcrand package for the design and analysis of cluster randomized trials |
| Package source: | cvcrand_0.0.2.tar.gz |
| Windows binaries: | r-devel: cvcrand_0.0.2.zip, r-release: cvcrand_0.0.2.zip, r-oldrel: cvcrand_0.0.2.zip |
| OS X binaries: | r-release: cvcrand_0.0.2.tgz, r-oldrel: cvcrand_0.0.2.tgz |
| Old sources: | cvcrand archive |
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