DelayedExponential      Delayed Exponential Distribution
DelayedWeibull          Delayed Weibull Distribution
as_percent              Format a number as percentage.
bsDataStep              Generate bootstrap distribution of model
                        parameters to a fitted incubate model
buildControl            Build control list for 'delay_model()' and
                        'objFunFactory()'
buildDist               Builds the distribution object
coef.incubate_fit       Coefficients of a delay-model fit.
confint.incubate_fit    Confidence intervals for parameters of delay
                        model fit
delay_fit               Fit optimal parameters according to the
                        objective function (either MPSE or MLE-based)
delay_model             Fit a delayed Exponential or Weibull model to
                        one or two given sample(s)
estimRoundingError      Estimate rounding error based on given sample
                        of metric values The idea is to check at which
                        level of rounding the sample values do not
                        change.
getDist                 Get delay distribution function
getVariance             Get the standard deviation of the fitted delay
                        model fit
lines.incubate_fit      Add a line fit to a plot of (another)
                        'incubate_fit' object
logLik.incubate_fit     Extract Log-Likelihood
long2017                Relapse-free survival of melanoma patients
                        under adjuvant treatment
measles_sailer          Serial interval times for measles during a long
                        journey on a sailing vessel
minObjFunAlt            Minimize an objective function with alternative
                        optimizer
near                    Checks if arguments are numerically close.
objFunFactory           Factory method for objective function
plot.incubate_fit       Plot a fitted delay-model object of class
                        'incubate_fit'
power_diff              Power simulation function for a two-group
                        comparison
prepResponseVar         Check and prepare the survival response(s)
rockette74              Small data sets from miscellaneous publications
scalePars               Calculate parameter scaling for optimization
                        routine.
stankovic               Survival time of mice with glioma under
                        different treatments
test_GOF                Goodness-of-fit (GOF) test statistic
                        (experimental!)
test_diff               Test the difference for model parameter(s)
                        between two uncorrelated groups
transform.incubate_fit
                        Transform observed data to unit interval
update.incubate_fit     Refit an 'incubate_fit'-object with specified
                        optimization arguments
w1Fint                  Internal MLEw-weight W1 function according to
                        sampling distribution Weight W1 for given
                        sample sizes (of one group). For small 'nObs'
                        we use direct results from Monte-Carlo
                        simulation. For higher 'nObs' we use an
                        approximation (based on Wilson-Hilferty
                        transformation).
w2Fint                  Internal MLEw weight function W2 according to
                        sampling distribution W2 is either taken
                        directly from the MCSS-results (if available)
                        or are taken from the smooth approximation
                        function, otherwise.
w3FFint                 Internal factory method for W3-function based
                        on sampling distribution
