checkAndReturnsEsMinParameterSide
                        Checks consistency between the sided of the
                        hypothesis and the minimal clinically relevant
                        effect size or safe test defining parameter.
                        Throws an error if the one-sided hypothesis is
                        incongruent with the
checkAndReturnsNPlan    Check consistency between nPlan and the
                        testType for one and two-sample z and t-tests
checkDoubleArgumentsDesignObject
                        Helper function to check whether arguments are
                        specified in a function at a higher level and
                        already provided in the design object.
computeBetaBatchSafeZ   Helper function: Computes the type II error
                        based on the minimal clinically relevant effect
                        size and sample size.
computeBetaSafeT        Helper function: Computes the type II error of
                        the safeTTest based on the minimal clinically
                        relevant standardised mean difference and
                        nPlan.
computeBetaSafeZ        Helper function: Computes the type II error
                        based on the minimal clinically relevant mean
                        difference and nPlan
computeBootObj          Computes the bootObj for sequential sampling
                        procedures regarding nPlan, beta, the implied
                        target
computeConfidenceBoundForLogOddsTwoProportions
                        Estimate an upper or lower bound for a safe
                        confidence sequence on the logarithm of the
                        odds ratio for two proportions.
computeConfidenceBoundsForDifferenceTwoProportions
                        Estimate Lower and Upper Bounds on the
                        Confidence Sequence (Interval) for the
                        Difference Divergence Measure for Two
                        Proportions
computeConfidenceIntervalT
                        Helper function: Computes the safe confidence
                        sequence for the mean in a t-test
computeConfidenceIntervalZ
                        Helper function: Computes the safe confidence
                        sequence for a z-test
computeEsMinSafeT       Helper function: Computes the minimal
                        clinically relevant standardised mean
                        difference for the safe t-test nPlan and beta.
computeLogrankBetaFrom
                        Helper function: Computes the type II error
                        under optional stopping based on the minimal
                        clinically relevant hazard ratio and the
                        maximum number of nEvents.
computeLogrankNEvents   Helper function: Computes the planned sample
                        size based on the minimal clinical relevant
                        hazard ratio, alpha and beta under optional
                        stopping.
computeLogrankZ         Helper function to computes the logrank
                        statistic for 'Surv' objects of type "right"
                        and "counting" with the hypergeometric
                        variance.
computeMinEsBatchSafeZ
                        Computes the smallest mean difference that is
                        detectable with chance 1-beta, for the provided
                        sample size
computeNEff             Help function to compute the effective sample
                        size based on a length 2 vector of samples
computeNPlanBatchSafeT
                        Helper function: Computes the planned sample
                        size for the safe t-test based on the minimal
                        clinically relevant standardised effect size,
                        alpha and beta.
computeNPlanBatchSafeZ
                        Helper function: Computes the planned sample
                        size based on the minimal clinical relevant
                        mean difference, alpha and beta.
computeNPlanSafeT       Helper function: Computes the planned sample
                        size of the safe t-test based on the minimal
                        clinical relevant standardised mean difference.
computeNPlanSafeZ       Helper function: Computes the planned sample
                        size based on the minimal clinical relevant
                        mean difference, alpha and beta
computeStatsForLogrank
                        Computes the sufficient statistics needed to
                        compute 'logrankSingleZ'
defineTTestN            Computes a Sequence of (Effective) Sample Sizes
designFreqT             Design a Frequentist T-Test
designFreqZ             Design a Frequentist Z-Test
designPilotSafeT        Designs a Safe T-Test Based on Planned Samples
                        nPlan
designPilotSafeZ        Designs a Safe Z-Test Based on Planned Samples
                        nPlan
designSafeLogrank       Designs a Safe Logrank Test Experiment
designSafeT             Designs a Safe Experiment to Test Means with a
                        T Test
designSafeTwoProportions
                        Designs a Safe Experiment to Test Two
                        Proportions in Stream Data
designSafeZ             Designs a Safe Z Experiment
extractNameFromArgs     Helper function: Get all names as entered by
                        the user
generateNormalData      Generates Normally Distributed Data Depending
                        on the Design
generateSurvData        Generate Survival Data which Can Be Analysed
                        With the 'survival' Package
getArgs                 Helper function: Get all arguments as entered
                        by the user
getNameAlternative      Gets the Label of the Alternative Hypothesis
getNameTestType         Gets the Label of the Test
isTryError              Checks Whether a Vector of Object Inherits from
                        the Class 'try-error'
logrankSingleEExact     Helper function computes single component of
                        the exact logrank e-value
logrankSingleZ          Helper function computes single component of
                        the logrank statistic
plot.safe2x2Sim         Plots Results of Simulations for Comparing
                        Hyperparameters for Safe Tests of Two
                        Proportions
plot.safeTSim           Plots a 'safeTSim' Object
plotConfidenceSequenceTwoProportions
                        Plot bounds of a safe confidence sequence of
                        the difference or log odds ratio for two
                        proportions against the number of data blocks
                        in two data streams ya and yb.
plotHistogramDistributionStoppingTimes
                        Plots the Histogram of Stopping Times
plotSafeTDesignSampleSizeProfile
                        Plots the Sample Sizes Necessary for a
                        Tolerable Alpha and Beta as a Function of
                        deltaMin
print.safe2x2Sim        Prints Results of Simulations for Comparing
                        Hyperparameters for Safe Tests of Two
                        Proportions
print.safeDesign        Print Method for Safe Tests
print.safeTSim          Prints a safeTSim Object
print.safeTest          Print Method for Safe Tests
rLogrank                Randomly samples from a logrank distribution
replicateTTests         Simulate Early Stopping Experiments
returnOne               Auxiliary function for sampling of the logrank
                        simulations to return the integer 1 event per
                        time.
safeLogrankTest         Safe Logrank Test
safeTTest               Safe Student's T-Test.
safeTTestStat           Computes E-Values Based on the T-Statistic
safeTTestStatAlpha      safeTTestStat() Subtracted with 1/alpha.
safeTTestStatTDensity   safeTTestStat() based on t-densities
safeTwoProportionsTest
                        Perform a Safe Test for Two Proportions with
                        Stream Data
safeZ10Inverse          Computes the Inverse of the Two-Sided Safe
                        Z-Test
safeZTest               Safe Z-Test
safeZTestStat           Computes E-Values Based on the Z-Statistic
sampleLogrankStoppingTimes
                        Simulate stopping times for the exact safe
                        logrank test
sampleStoppingTimesSafeT
                        Simulate stopping times for the safe z-test
sampleStoppingTimesSafeZ
                        Simulate stopping times for the safe z-test
selectivelyContinueTTestCombineData
                        Selectively Continue Experiments that Did Not
                        Lead to a Null Rejection for a (Safe) T-Test
setSafeStatsPlotOptionsAndReturnOldOnes
                        Sets 'safestats' Plot Options and Returns the
                        Current Plot Options.
simulate.safeDesign     Simulate Early Stopping Experiments for the T
                        Test
simulateCoverageDifferenceTwoProportions
                        Simulate the coverage of a safe confidence
                        sequence for differences between proportions
                        for a given distribution and safe design.
simulateIncorrectStoppingTimesFisher
                        Simulate incorrect optional stopping with
                        fisher's exact test's p-value as the stopping
                        rule.
simulateOptionalStoppingScenarioTwoProportions
                        Simulate an optional stopping scenario
                        according to a safe design for two proportions
simulateTwoProportions
                        Compare Different Hyperparameter Settings for
                        Safe Tests of Two Proportions.
tryOrFailWithNA         Tries to Evaluate an Expression and Fails with
                        'NA'
