R: Sample Size Calculation Tools

# Sample Size Calculation Tools

## Documentation for package ‘ssutil’ version 1.0.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

empirical_power_result | Create an Empirical Power Result object
format.power_single_rate | Format method for power_single_rate class
is.empirical_power_result | Check if an object is a sim_power_result
multp | Calculate the Multivariate Normal Probability
multz | Calculate the Upper Equicoordinate Point of a Multivariate Normal Distribution
power_best_binomial | Power to Correctly Select the Best Group in a Binomial Test
power_best_normal | Power calculation for the Indifferent-zone approach for normal outcomes
power_single_rate | Detectable Event Rate with Specified Power and Sample Size
print.empirical_power_result | Print method for empirical_power_result
print.power_single_rate | Print method for class power_single_rate
prophr | Calculate Event Probability in the Experimental Group Given a Hazard Ratio
sim_power_best_binomial | Simulate Power to Select the Best Group Using Binomial Outcomes
sim_power_best_bin_rank | Simulate Power to Rank the Best Group Using Binomial Outcomes
sim_power_best_normal | Simulate Power to Select Best Group (Normal Outcomes)
sim_power_best_norm_rank | Simulate Power to Select Best Group by Ranks (Normal Outcomes)
sim_power_equivalence_normal | Empirical Power for Equivalence (Normal Outcomes)
sim_power_nbinom | Empirical Power for Negative Binomial Comparison
sim_power_ni_normal | Empirical Power for Non-Inferiority (Normal Outcomes)
ss_best_binomial | Sample Size to Select the Best Group in a Binomial Test
ss_best_normal | Sample Size for Selecting the Best Treatment in a Normal Response (Indifference-Zone)
ss_ni_ve | Sample Size and Non-Inferiority Margin for Vaccine Efficacy Trials
tidy.empirical_power_result | Tidy Method for empirical_power_result
wcs_power_best_binomial | Worst‐Case Scenario Power for the Best Binomial Group