Changes in version 1.2.0 - Added unit tests for all procedures - Added clean.parms, unifying how the input parameters in the results list are returned - Added further input checks so that all input parameters are checked - Simplified code in power.z.logistic and power.z.poisson - Corrected formula for Hsieh et al. (1998) in power.z.logistic - Added target.effect to determine effect of interest in power.f.ancova Changes in version 1.0.0 - 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 Changes in version 0.3.2 - 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. Changes in version 0.3.1 - More detailed vignette (typo fixes) - Added web application links (shiny dashboards) - Minor bug fixes with plot() function Changes in version 0.3.0 - 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 version 0.2.0 - Added pwrss.t.reg() and pwrss.z.med() functions Changes in version 0.1.0 - Initial release