Superpower: Simulation-Based Power Analysis for Factorial Designs

Functions to perform simulations of ANOVA designs of up to three factors. Calculates the observed power and average observed effect size for all main effects and interactions in the ANOVA, and all simple comparisons between conditions. Includes functions for analytic power calculations and additional helper functions that compute effect sizes for ANOVA designs, observed error rates in the simulations, and functions to plot power curves. Please see Lakens, D., & Caldwell, A. R. (2019). "Simulation-Based Power-Analysis for Factorial ANOVA Designs". <doi:10.31234/>.

Version: 0.1.0
Imports: mvtnorm, MASS, afex, emmeans, ggplot2, gridExtra, reshape2, stats, dplyr, magrittr, tidyselect, Hmisc
Suggests: knitr, rmarkdown, pwr, testthat, covr, jmvcore
Published: 2020-09-03
Author: Aaron Caldwell [aut, cre], Daniel Lakens [aut], Lisa DeBruine [ctb], Jonathon Love [ctb], Frederik Aust ORCID iD [ctb]
Maintainer: Aaron Caldwell <arcaldwell49 at>
License: MIT + file LICENSE
NeedsCompilation: no
Citation: Superpower citation info
Materials: README NEWS
CRAN checks: Superpower results


Reference manual: Superpower.pdf
Vignettes: Introduction to Justifying Alpha Levels
Power calculations for 'emmeans' analyses
Introduction to Superpower
Package source: Superpower_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: Superpower_0.1.0.tgz, r-oldrel: Superpower_0.1.0.tgz
Old sources: Superpower archive


Please use the canonical form to link to this page.