getSimulationResults: Simulate trials

In optconerrf: Optimal Monotone Conditional Error Functions

Simulate trials

Description

Simulate the rejection probability for a given design and alternative.

Usage

getSimulationResults(
  design,
  maxNumberOfIterations = 10000,
  alternative,
  seed = NULL
)

Arguments

design	An object of class TrialDesignOptimalConditionalError created by getDesignOptimalConditionalErrorFunction(). Contains all necessary arguments to calculate the optimal conditional error function for the specified case.
maxNumberOfIterations	Number of trials to be simulated.
alternative	Assumed relative effect size.
seed	An optional seed for reproducibility.

Details

Simulates the probabilities of overall rejection as well as early futility and early efficacy for the provided scenario and design. This is done by generating random normally distributed test statistics and calculating their p-values.

Value

An object of class SimulationResultsOptimalConditionalError containing the simulation results.

See Also

getDesignOptimalConditionalErrorFunction(), getOverallPower()

Examples

design <- getDesignOptimalConditionalErrorFunction(
 alpha = 0.025, alpha1 = 0.001, alpha0 = 0.5, delta1 = 0.25,
 useInterimEstimate = FALSE,
 conditionalPower = 0.9, likelihoodRatioDistribution = "maxlr",
 firstStageInformation = 10
)

# Simulate under the null hypothesis and for a mean difference of 0.5
getSimulationResults(
 design = design, alternative = c(0, 0.5)
)

optconerrf documentation built on Sept. 9, 2025, 5:29 p.m.