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PowerUpR
View on CRAN: Click
here
Download and install PowerUpR package within the R console
Install from CRAN:
install.packages("PowerUpR")
Install from Github:
library("remotes")
install_github("cran/PowerUpR") Install by package version:
library("remotes")
install_version("PowerUpR", "1.1.0") Attach the package and use:
library("PowerUpR")
Maintained by
Metin Bulus
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-11-01
Latest Update: 2021-10-25
Description:
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; - - ),
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; - - ), 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; / ).
See 'PowerUp!' Excel series at .
How to cite:
Metin Bulus (2016). PowerUpR: Power Analysis Tools for Multilevel Randomized Experiments. R package version 1.1.0, https://cran.r-project.org/web/packages/PowerUpR. Accessed 04 Jun. 2026.
Previous versions and publish date:
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Other R packages that PowerUpR depends,
imports, suggests or enhances
Complete documentation for PowerUpR
Functions, R codes and Examples using
the PowerUpR R package
Some associated functions: PowerUpR-package . bcra3r2 . bcra4r2 . bcra4r3 . bira2 . bira3 . bira4 . conv . cra2 . cra3 . cra4 . ira . med_pn . plot . replication . t1t2 .
Some associated R codes: bcra3r2.R . bcra4r2.R . bcra4r3.R . bira2.R . bira3.R . bira4.R . conv.R . cra2.R . cra3.R . cra4.R . error.R . ira.R . med_pn.R . plot.R . replication.R . t1t2.R . utils.R . Full PowerUpR package functions and examples
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