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. (2021). "Simulation-Based Power Analysis for Factorial Analysis of Variance Designs". <doi:10.1177/2515245920951503>.

Version: 0.1.2
Imports: mvtnorm, MASS, afex, emmeans, ggplot2, gridExtra, reshape2, stats, dplyr, magrittr, tidyselect, Hmisc, tidyr
Suggests: knitr, rmarkdown, pwr, testthat, covr, jmvcore
Published: 2021-05-25
Author: Aaron Caldwell [aut, cre], Daniel Lakens [aut], Lisa DeBruine [ctb], Jonathon Love [ctb], Frederik Aust ORCID iD [ctb]
Maintainer: Aaron Caldwell <arcaldwell49 at gmail.com>
BugReports: https://github.com/arcaldwell49/Superpower/issues
License: MIT + file LICENSE
URL: https://aaroncaldwell.us/SuperpowerBook/
NeedsCompilation: no
Citation: Superpower citation info
Materials: README NEWS
CRAN checks: Superpower results

Downloads:

Reference manual: Superpower.pdf
Vignettes: Introduction to Justifying Alpha Levels
Power calculations for 'emmeans' analyses
Introduction to Superpower
More ANOVA designs
Package source: Superpower_0.1.2.tar.gz
Windows binaries: r-devel: Superpower_0.1.2.zip, r-release: Superpower_0.1.2.zip, r-oldrel: Superpower_0.1.2.zip
macOS binaries: r-release (arm64): Superpower_0.1.2.tgz, r-release (x86_64): Superpower_0.1.2.tgz, r-oldrel: Superpower_0.1.2.tgz
Old sources: Superpower archive

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