The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

ggpower

Documentation: https://yaoxiangli.github.io/ggpower/

ggpower is an R package and Shiny application for statistical power analysis. It provides a scriptable API through power_compute() and a wide-screen GUI with six modules:

1. Choose a test family and statistical test.
2. Choose a power-analysis type.
3. Enter input parameters.
4. Calculate output parameters.
5. Inspect distribution plots, X-Y power plots, and protocol history.

Supported Analysis Modes

• A priori: compute required sample size.
• Compromise: compute alpha and beta from beta / alpha.
• Criterion: compute alpha for a target power.
• Post hoc: compute achieved power.
• Sensitivity: compute the effect size required for target power.

Supported Test Families

• t tests: one-sample, paired, two independent means, point-biserial, generic t.
• F tests: one-way ANOVA, special ANOVA effects, multiple-regression omnibus, multiple-regression R2 increase, two variances.
• Chi-square tests: variance, goodness-of-fit, contingency tables.
• Exact/proportion tests: binomial, one proportion, sign test, McNemar-style discordant-pair binomial planning, Fisher-style two-proportion planning.
• z tests: independent correlations, logistic regression, Poisson regression.
• Nonparametric tests: Wilcoxon signed-rank and Wilcoxon-Mann-Whitney using asymptotic relative efficiency planning.
• Biomarker: ROC/AUC, diagnostic accuracy, survival, Cox, FDR screening.
• Clinical: superiority, non-inferiority, equivalence, Simon two-stage, cluster RCT.

Some advanced procedures use documented approximations. The result object includes method notes so these cases are visible in the GUI and protocol. See the approximation catalog.

Examples

power_compute(
  "t_one_sample",
  "a_priori",
  d = 0.625,
  alpha = 0.05,
  power = 0.95,
  tails = "one"
)

power_compute(
  "f_mreg_omnibus",
  "post_hoc",
  f2 = 0.1111111,
  alpha = 0.05,
  total_n = 95,
  predictors = 5
)

Run the app with:

ggpower::run_app()

Validation

The test suite includes golden reference examples, solver tests for the five analysis modes, registry checks, and Shiny module smoke tests.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.