Functions for bootstrapping the power of ANOVA designs
    based on estimated means and standard deviations of the conditions.
    Please refer to the documentation of the boot.power.anova() function
    for further details.

A power analysis tool for jointly testing the cause-1 cause-specific hazard and the any-cause hazard with competing risks data.

Power and sample size calculation for bulk tissue and single-cell eQTL analysis
             based on ANOVA, simple linear regression, or linear mixed effects model. It can also calculate power/sample size 
             for testing the association of a SNP to a continuous type phenotype.
             Please see the reference: Dong X, Li X, Chang T-W, Scherzer CR, Weiss ST, Qiu W. (2021) <doi:10.1093/bioinformatics/btab385>.

Power estimation and sample size calculation for 10X Visium Spatial Transcriptomics data to detect differential expressed genes between two conditions based on bootstrap resampling. See Shui et al. (2025) <doi:10.1371/journal.pcbi.1013293> for method details.

Evaluate a function across a grid of parameters. The function may be evaluated once, or many times for simulation. Parallel computing is facilitated. Utilities aim at performing analyses of power and sample size, allowing for easy search of minimum n (or min/max of any other parameter) to achieve a desired minimal level of power (or maximum of any other objective). Plotting functions are included that present the dependency of n and power in relation to further assumptions.

Analytical power calculations for GxE and GxG interactions for case-control studies of candidate genes and genome-wide association studies (GWAS). This includes power calculation for four two-step screening and testing procedures.  It can also calculate power for GxE and GxG without any screening.

Calculate sample size or power for hierarchical endpoints. 
  The package can handle any type of outcomes (binary, continuous, count, ordinal, 
  time-to-event) and any number of such endpoints. It allows users to calculate 
  sample size with a given power or to calculate power with a given sample size 
  for hypothesis testing based on win ratios, win odds, net benefit, or DOOR 
  (desirability of outcome ranking) as treatment effect between two groups for 
  hierarchical endpoints. The methods of this package are described further in 
  the paper by Barnhart, H. X. et al. (2024, <doi:10.1080/19466315.2024.2365629>).