Includes tools to calculate statistical power, minimum detectable effect size (MDES), MDES difference (MDESD), and minimum required sample size for various multilevel randomized experiments with continuous outcomes. Some of the functions can assist with planning multilevel randomized experiments sensetive to detect multilevel moderation (2-1-1, 2-1-2, 2-2-1, and 2-2-2 designs) and multilevel mediation (2-1-1, 2-2-1, 3-1-1, 3-2-1, and 3-3-1 designs). See 'PowerUp!' Excel series at <https://www.causalevaluation.org/>.
Package details |
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Author | Metin Bulus [aut, cre], Nianbo Dong [aut], Benjamin Kelcey [aut], Jessaca Spybrook [aut] |
Maintainer | Metin Bulus <bulusmetin@gmail.com> |
License | GPL (>= 3) |
Version | 1.1.0 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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