DESCRIPTION

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 <hengshi@umich.edu>
Description: 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. 
License: GPL (>= 2)
LazyData: TRUE
Depends: R (>= 3.4.0)
Imports: tableone
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 7.1.0
Encoding: UTF-8