Sample Size Calculation Tools


[Up] [Top]

Documentation for package ‘ssutil’ version 1.0.0

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