crt2power: Designing Cluster-Randomized Trials with Two Co-Primary Outcomes

Provides methods for powering cluster-randomized trials with two co-primary outcomes using five key design techniques. Includes functions for calculating required sample size and statistical power. For more details on methodology, see Li et al. (2020) <doi:10.1111/biom.13212>, Pocock et al. (1987) <doi:10.2307/2531989>, Vickerstaff et al. (2019) <doi:10.1186/s12874-019-0754-4>, and Yang et al. (2022) <doi:10.1111/biom.13692>.

Version: 1.0.0
Depends: R (≥ 4.3)
Imports: devtools (≥ 2.4.5), knitr (≥ 1.43), rootSolve (≥, tidyverse (≥ 2.0.0), tableone (≥ 0.13.2), foreach (≥ 1.5.2), mvtnorm (≥ 1.2), tibble (≥ 3.2.1), dplyr (≥ 1.1.4), tidyr (≥ 1.3.0), stats (≥ 3.6.2)
Suggests: testthat (≥ 3.0.0)
Published: 2024-06-20
DOI: 10.32614/CRAN.package.crt2power
Author: Melody Owen [aut, cre]
Maintainer: Melody Owen <melody.owen at>
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: crt2power results


Reference manual: crt2power.pdf


Package source: crt2power_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): crt2power_1.0.0.tgz, r-oldrel (arm64): crt2power_1.0.0.tgz, r-release (x86_64): crt2power_1.0.0.tgz, r-oldrel (x86_64): crt2power_1.0.0.tgz


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