R: Optimal Monotone Conditional Error Functions

# Optimal Monotone Conditional Error Functions

## Documentation for package ‘optconerrf’ version 1.0.2

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

## Help Pages

.rangeCheck | Simple range check for numeric variables
getDesignOptimalConditionalErrorFunction | Create a design object for the optimal conditional error function.
getExpectedSecondStageInformation | Calculate Expected Second-stage Information
getLevelConstant | Get Level Constant for Optimal Conditional Error Function
getLikelihoodRatio | Calculate Likelihood Ratio
getMonotoneFunction | Return Monotone Function Values
getMonotonisationConstants | Calculate the Constants for Monotonisation
getNu | Calculate Nu
getNuPrime | Calculate the Derivate of Nu
getOptimalConditionalError | Calculate the Optimal Conditional Error
getOverallPower | Calculate the overall power
getPsi | Calculate Psi, the Inverse of Nu Prime
getQ | Calculate Q
getSecondStageInformation | Calculate the Second-stage Information
getSimulationResults | Simulate trials
plot.TrialDesignOptimalConditionalError | Plot the optimal conditional error function
PowerResultsOptimalConditionalError | Power results for optimal conditional error design
print.PowerResultsOptimalConditionalError | Print power results
print.SimulationResultsOptimalConditionalError | Print simulation results
print.TrialDesignOptimalConditionalError | Print optimal conditional error trial design
SimulationResultsOptimalConditionalError | Simulation results for optimal conditional error design
summary.TrialDesignOptimalConditionalError | Summary of the optimal conditional error trial design
TrialDesignOptimalConditionalError | Optimal Conditional Error Design