CRAN/E | cvcrand

cvcrand

Efficient Design and Analysis of Cluster Randomized Trials

Installation

About

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.

Key Metrics

Version 0.1.1
R ≥ 3.4.0
Published 2023-09-17 230 days ago
Needs compilation? no
License GPL-2
License GPL-3
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Maintainer

Maintainer

Hengshi Yu

hengshi@umich.edu

Authors

Hengshi Yu

aut / cre

Fan Li

aut

John A. Gallis

aut

Elizabeth L. Turner

aut

Material

NEWS
Reference manual
Package source

Vignettes

cvcrand package for the design and analysis of cluster randomized trials

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

cvcrand archive

Depends

R ≥ 3.4.0

Imports

tableone

Suggests

knitr
rmarkdown