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: |
1.1.0 |
| Depends: |
R (≥ 4.3) |
| Imports: |
devtools (≥ 2.4.5), knitr (≥ 1.43), rootSolve (≥ 1.8.2.3), 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: |
2024-09-23 |
| DOI: |
10.32614/CRAN.package.crt2power |
| Author: |
Melody Owen [aut, cre] |
| Maintainer: |
Melody Owen <melody.owen at yale.edu> |
| License: |
GPL-3 |
| URL: |
https://github.com/melodyaowen/crt2power |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
crt2power results |
Documentation:
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