cvcrand

Efficient Design and Analysis of Cluster Randomized Trials

CRAN Package

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.


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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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The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

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.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


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Dependencies

  • Imports1 package
  • Suggests2 packages