Sample Size Calculation Tools

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Documentation for package ‘ssutil’ version 1.0.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

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