Simulation-Based Power Analysis for Factorial Designs
Compute standardized alpha level based on unstandardized alpha level a...
Power Calculations for Factorial ANCOVAs
Power Calculations for ANCOVA Contrasts
Methods for ancova_power objects
Justify your alpha level by minimizing or balancing Type 1 and Type 2 ...
Design function used to specify the parameters to be used in simulatio...
Simulates an exact dataset (mu, sd, and r represent empirical, not pop...
Simulation function used to estimate power
Methods for design_aov objects
Compute power for emmeans contrasts
Plot out power sensitivity plots for t or F tests
Convenience function to calculate the means for between designs with o...
Methods for opt_alpha objects
Justify your alpha level by minimizing or balancing Type 1 and Type 2 ...
Compute standardized alpha level based on unstandardized alpha level a...
Convenience function to plot power across a range of sample sizes.
Power Calculations for a one-way ANCOVA
Analytic power calculation for one-way between designs.
Analytic power calculation for one-way within designs.
Optimizing function to achieve desired power based on a standardized a...
Analytic power calculation for three-way between designs.
Analytic power calculation for two-way between designs.
Power Calculations for an F-test
Methods for sim_result objects
Set/get global Superpower options
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>.
Useful links