Efficient Design and Analysis of Cluster Randomized Trials

Constrained randomization by Raab and Butcher (2001) 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) . Motivated from Li, et al. (2016) , 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.


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install.packages("cvcrand")

0.0.2 by Hengshi Yu, 5 months ago


Browse source code at https://github.com/cran/cvcrand


Authors: Hengshi Yu [aut, cre], John A. Gallis [aut], Fan Li [aut], Elizabeth L. Turner [aut]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports tableone

Suggests knitr, rmarkdown


See at CRAN