Package: cvcrand Type: Package Title: Efficient Design and Analysis of Cluster Randomized Trials Version: 0.1.0 Date: 2020-04-13 Authors@R: c(person(given = "Hengshi", family = "Yu", role = c("aut", "cre"), email="hengshi@umich.edu"), person(given = "Fan", family = "Li", role ="aut", email = "fan.f.li@yale.edu"), person(given = "John A.", family = "Gallis", role ="aut", email = "john.gallis@duke.edu"), person(given = "Elizabeth L.", family = "Turner", role ="aut", email = "liz.turner@duke.edu")) Maintainer: Hengshi Yu Description: 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 clustered permutation test on the individual-level outcomes for cluster randomized trials. License: GPL (>= 2) LazyData: TRUE Depends: R (>= 3.4.0) Imports: tableone Suggests: knitr, rmarkdown VignetteBuilder: knitr RoxygenNote: 7.1.0 Encoding: UTF-8 Config/pak/sysreqs: make libicu-dev libx11-dev zlib1g-dev Repository: https://hengshiyu.r-universe.dev Date/Publication: 2023-09-16 23:12:42 UTC RemoteUrl: https://github.com/hengshiyu/cvcrand RemoteRef: HEAD RemoteSha: 4ed1c9b6ab9cd139304d57ed7771fff92c7a075d NeedsCompilation: no Packaged: 2026-06-01 09:13:35 UTC; root Author: Hengshi Yu [aut, cre], Fan Li [aut], John A. Gallis [aut], Elizabeth L. Turner [aut]