Changelog

Addition 1: ANCOVA procedures with means and contrasts (Shieh)
Addition 2: Exact tests for proportions (Fisher & McNemar)
Addition 3: Generic binomial test (with plotting feature)
Addition 4: Dependent correlations (Steiger)
Addition 5: Effect size conversion functions
Extension 1: Generic tests handles non-zero null (useful for equivalence and minimum effect testing). Some specific tests also allow non-zero null.
Extension 2: ANCOVA procedures allow R-squared adjustment (i.e., Keppel and Shieh)
Consistent function names, population-consistent argument names (Greek notation) and base R consistency
Rigorous error checks and warnings
Comprehensive print utility with three-tier verbosity control
Minor bug fixes to plot() function

alternative = “less” now produce correct power rates in pwrss.z.prop() function. Thanks to Leszek Gawarecki for reporting the issue.
The default for p0 argument in pwrss.chisq.gofit() can now be overwritten. Thanks to Kate Crespi for reporting the issue.
Type 1 and type 2 error plots show and print correct power estimates for two-tailed tests when effect size is near zero. Thanks to dpnichols811 (GitHub profile handle) and Adrian Olszewski for reporting the issue.
pwrss.z.corr() print correct errors with alternative = “greater” when in fact it is less (or vice versa). Thanks to Jarrod Hadfield for reporting the issue.

Added pwrss.np.2means(), pwrss.z.logreg(), pwrss.z.poisreg(), pwrss.chisq.gofit(), and generic power.chisq.test() functions
Improvements to plot() function
Improvements to documentation
Improvements to pwrss.z.med() and pwrss.f.ancova() console print
More detailed and comprehensive examples in vignette
Bug fixes (Welch’s t test)

Changes in pwrss v1.0.02025-09-16