Package: cvcrand 0.1.0

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.

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

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Bug tracker:https://github.com/hengshiyu/cvcrand/issues

On CRAN:

3 exports 1.02 score 54 dependencies 1 mentions 8 scripts 253 downloads

Last updated 1 years agofrom:4ed1c9b6ab. Checks:OK: 1 NOTE: 6. Indexed: yes.

Exports:cptestcvrallcvrcov

Dependencies:bitbit64classclicliprcpp11crayonDBIdplyre1071fansiforcatsgdatagenericsgluegmodelsgtoolshavenhmslabelledlatticelifecyclemagrittrMASSMatrixminqamitoolsnlmenumDerivpillarpkgconfigprettyunitsprogressproxypurrrR6RcppRcppArmadilloreadrrlangstringistringrsurveysurvivaltableonetibbletidyrtidyselecttzdbutf8vctrsvroomwithrzoo