DelayedExponential      Delayed Exponential Distribution
DelayedWeibull          Delayed Weibull Distribution
as_percent              Format a number as percentage.
bsDataStep              Generate bootstrap distribution of model
                        parameters to fitted incubate model.
coef.incubate_fit       Coefficients of a delay-model fit.
confint.incubate_fit    Confidence intervals for parameters of
                        incubate-model fits.
delay_fit               Fit optimal parameters according to the
                        objective function (either MPSE or MLE0).
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
getPars                 Extract the parameters for the specified group.
objFunFactory           Factory method for objective function, either
                        according to maximum product of spacings
                        estimation ('MPSE') or according to standard
                        maximum likelihood estimation ('MLE0').
power_diff              Power simulation function for a two-group
                        comparison of the delay parameter.
stankovic               Survival of mice with glioma under different
                        treatments.
test_GOF                Goodness-of-fit (GOF) test statistic.
test_diff               Test the difference for delay model
                        parameter(s) between two uncorrelated groups,
                        based on maximum product of spacings estimation
                        (MPSE).
transform.incubate_fit
                        Transform observed data to unit interval
update.incubate_fit     Refit an 'incubate_fit'-object with specified
                        optimization arguments. If more things need to
                        be changed use 'delay_model'.
