Simulation-Based Power Analysis for Factorial Designs
Overview
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.
Install
Health
- OK13 OK2026-09-11
- ERROR12 OK, 1 ERROR2026-09-04
- OK13 OK2026-08-21
- ERROR12 OK, 1 ERROR2026-08-20
- OK13 OK2026-08-05
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- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK13 OK2026-05-12
- ERROR12 OK, 1 ERROR2026-05-11
- OK13 OK2026-04-28
- ERROR11 OK, 1 ERROR2026-04-27
- OK14 OK2026-04-11
- ERROR13 OK, 1 ERROR2026-04-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 25
- Examples that run
- 70%14 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran) · 5 never run
- Exported functions with examples
- 95%
- Documented parameters
- 100%
- Return-value docs
- 90%
- Help pages citing references
- 4%
Downloads
Repository
- PRs merged (all time)
- 93%
- Median days to close, 50 most recently updated closed issues
- 2
- Median days to close, 50 most recently updated closed PRs
- 0
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14 development-tooling and community-health practices detected across 6 families in the upstream repository
Checks run against github.com/arcaldwell49/superpower on 2026-10-18.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
Funding links: GitHub Sponsors
The repository owner accepts GitHub Sponsors
GitHub Pages site last deployed 2026-04-24 · The repository has a site deploy workflow
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This repository shows signs of AI coding tools.
- GitHub Copilotfirst seen 2025-10-02Pull request: opened by its own accountCommits: 3 by its own account
- Claude Codefirst seen 2026-03-02Seen in the repository: CLAUDE.mdNamed in .Rbuildignore: .claude, CLAUDE.mdNamed in .gitignore: .claudeCommits: at least 1 crediting it in the message
- Claude Opus 4.61 commit · Apr 2026
Dependencies
Installing Superpower adds 67 packages (35 with compiled code, 62 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, doBy 4.3 MB.
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 0.2.4.1Latest
- 0.2.42025-06-24 · diff ↗
- 0.2.32025-05-15 · diff ↗
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.2.0
- RR 4.2.0 released · 2022-04-22
- 0.1.22021-05-25 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 0.1.1
- 0.1.02020-09-03 · diff ↗ ·
added 8 exports
ANOVA_compromise, ANOVA_exact2, alpha_standardized, emmeans_power, optimal_alpha, p_standardized, power.ftest, power_standardized_alpha - RR 4.0.0 released · 2020-04-24
- 0.0.32020-02-17
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2020-02-17
- Total releases
- 8 / 6 yrs
- License
- MIT + file LICENSE OSI
- Download size
- 2.7 MB
Cite
Cite this package
Run in R for the authors' entry:
citation("Superpower")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.1177/2515245920951503.
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