cvcrand
Efficient Design and Analysis of Cluster Randomized Trials
Constrained randomization by Raab and Butcher (2001) doi:10.1002/1097-0258(20010215)20:3<351::AID-SIM797>3.0.CO;2-C20:3%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<1069::AID-SIM220>3.0.CO;2-Q1097-0258(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.
- Version0.1.1
- R version≥ 3.4.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release09/17/2023
Documentation
Team
Hengshi Yu
Fan Li
Show author detailsRolesAuthorJohn A. Gallis
Show author detailsRolesAuthorElizabeth L. Turner
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 230 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 13 times.
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Last 365 days
This package has been downloaded 2,999 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Sep 11, 2024 with 34 downloads.
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Dependencies
- Imports1 package
- Suggests2 packages