| 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. |
| DelayedExponential | Delayed Exponential Distribution |
| DelayedWeibull | Delayed Weibull Distribution |
| 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). |
| dexp_delayed | Delayed Exponential Distribution |
| dweib_delayed | Delayed Weibull Distribution |
| 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. |
| incubate | Incubate Package |
| objFunFactory | Factory method for objective function, either according to maximum product of spacings estimation ('MPSE') or according to standard maximum likelihood estimation ('MLE0'). |
| pexp_delayed | Delayed Exponential Distribution |
| power_diff | Power simulation function for a two-group comparison of the delay parameter. |
| pweib_delayed | Delayed Weibull Distribution |
| qexp_delayed | Delayed Exponential Distribution |
| qweib_delayed | Delayed Weibull Distribution |
| rexp_delayed | Delayed Exponential Distribution |
| rweib_delayed | Delayed Weibull Distribution |
| stankovic | Survival of mice with glioma under different treatments. |
| test_diff | Test the difference for delay model parameter(s) between two uncorrelated groups, based on maximum product of spacings estimation (MPSE). |
| test_GOF | Goodness-of-fit (GOF) test statistic. |
| 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'. |