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Includes tools to calculate statistical power, minimum detectable effect size (MDES), MDES difference (MDESD), and minimum required sample size for various multilevel randomized experiments (MRE) with continuous outcomes. Accomodates 14 types of MRE designs to detect main treatment effect, seven types of MRE designs to detect moderated treatment effect (2-1-1, 2-1-2, 2-2-1, 2-2-2, 3-3-1, 3-3-2, and 3-3-3 designs; <total.lev> - <trt.lev> - <mod.lev>), five types of MRE designs to detect mediated treatment effects (2-1-1, 2-2-1, 3-1-1, 3-2-1, and 3-3-1 designs; <trt.lev> - <med.lev> - <out.lev>), four types of partially nested (PN) design to detect main treatment effect, and three types of PN designs to detect mediated treatment effects (2/1, 3/1, 3/2; <trt.arm.lev> / <ctrl.arm.lev>). See 'PowerUp!' Excel series at <https://www.causalevaluation.org/>.
| Version: | 1.1.0 |
| Suggests: | knitr, rmarkdown |
| Published: | 2021-10-25 |
| DOI: | 10.32614/CRAN.package.PowerUpR |
| Author: | Metin Bulus [aut, cre], Nianbo Dong [aut], Benjamin Kelcey [aut], Jessaca Spybrook [aut] |
| Maintainer: | Metin Bulus <bulusmetin at gmail.com> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| Citation: | PowerUpR citation info |
| Materials: | README NEWS |
| In views: | ClinicalTrials |
| CRAN checks: | PowerUpR results |
| Reference manual: | PowerUpR.pdf |
| Vignettes: |
three-level cluster randomized trial vectorization |
| Package source: | PowerUpR_1.1.0.tar.gz |
| Windows binaries: | r-devel: PowerUpR_1.1.0.zip, r-release: PowerUpR_1.1.0.zip, r-oldrel: PowerUpR_1.1.0.zip |
| macOS binaries: | r-release (arm64): PowerUpR_1.1.0.tgz, r-oldrel (arm64): PowerUpR_1.1.0.tgz, r-release (x86_64): PowerUpR_1.1.0.tgz, r-oldrel (x86_64): PowerUpR_1.1.0.tgz |
| Old sources: | PowerUpR archive |
| Reverse suggests: | PUMP |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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