The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
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[@]dogado.de.

pwranova 1.1.5 (2026-07-26)

• Updated citation information following publication in JOSS.
• Added Japanese documentation to the package website.

pwranova 1.1.4 (2026-06-19)

• Fixed an issue in pwranova() where epsilon adjustments were not fully incorporated into noncentrality parameter calculations.
• Expanded validation tests, including additional comparisons with G*Power.

pwranova 1.1.3 (2026-06-18)

• Added conventional effect-size benchmarks based on Cohen (1988) in pwranova(), pwrttest(), and pwrcortest() documentation.
• Clarified the relationship between eta-squared and partial eta squared in pwranova() documentation.

pwranova 1.1.2 (2026-06-18)

• Clarified effect-size definitions and noncentrality parameter calculations in pwrttest() documentation.

pwranova 1.1.1 (2026-03-05)

• Strengthened input validation across functions. Added checks for finite values, parameter bounds, and boundary cases in effect-size conversion utilities and power analysis functions.
• Clarified documentation for pwrcortest() and pwrttest() to state that signed effect-size inputs (rho, delta) are converted to their absolute values.

pwranova 1.1.0 (2026-03-05)

• Added ncp_scale argument to pwrcortest() for alternative scaling of the noncentrality parameter in correlation power analysis.

pwranova 1.0.3 (2026-01-19)

• Fixed a bug in the denominator df for paired/repeated-measures contrast tests.

pwranova 1.0.2 (2025-10-01)

• Minor adjustments in DESCRIPTION and documentation links.
  
• Small fixes in preparation for CRAN submission.

pwranova 1.0.1 (2025-09-30)

• Removed obsolete comments in code.
• Updated citation information.
• Minor updates to DESCRIPTION.

pwranova 1.0.0 (2025-09-28)

• First stable release of the package.

• Provides power analysis functions for:

  • Between-, within-, and mixed-factor ANOVA designs (main effects and interactions).
  • Planned contrasts with user-defined weights.
  • t-tests (one-sample, paired, and two-sample).
  • Pearson correlations (using either the t-distribution or Fisher’s z-transformation).

• Supports solving for:

  • Statistical power
  • Required total sample size
  • Significance level (alpha)
  • Minimal detectable effect size (Cohen’s f, partial eta squared, or Cohen’s d-type indices).

• Validated against G*Power for supported ANOVA designs, t-tests, and correlation 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.
Health stats visible at Monitor.