| as_percent |
Format a number as percentage. |
| bsDataStep |
Generate bootstrap distribution of model parameters to 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 incubate-model fits. |
| DelayedExponential |
Delayed Exponential Distribution |
| DelayedWeibull |
Delayed Weibull Distribution |
| 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) |
| 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. |
| fatigue |
Small data sets from miscellaneous publications |
| getDist |
Get delay distribution function |
| graphite |
Small data sets from miscellaneous publications |
| 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 |
| mexp_delayed |
Delayed Exponential Distribution |
| minObjFunAlt |
Minimize an objective function with alternative optimizer |
| mweib_delayed |
Delayed Weibull Distribution |
| near |
Checks if arguments are numerically close. |
| objFunFactory |
Factory method for objective function |
| pexp_delayed |
Delayed Exponential Distribution |
| plot.incubate_fit |
Plot a fitted delay-model object of class 'incubate_fit' |
| pollution |
Small data sets from miscellaneous publications |
| power_diff |
Power simulation function for a two-group comparison |
| prepResponseVar |
Check and prepare the survival response(s) |
| pweib_delayed |
Delayed Weibull Distribution |
| qexp_delayed |
Delayed Exponential Distribution |
| qweib_delayed |
Delayed Weibull Distribution |
| rexp_delayed |
Delayed Exponential Distribution |
| rockette |
Small data sets from miscellaneous publications |
| rockette74 |
Small data sets from miscellaneous publications |
| rweib_delayed |
Delayed Weibull Distribution |
| scalePars |
Calculate parameter scaling for optimization routine. |
| stankovic |
Survival time of mice with glioma under different treatments |
| susquehanna |
Small data sets from miscellaneous publications |
| test_diff |
Test the difference for model parameter(s) between two uncorrelated groups |
| test_GOF |
Goodness-of-fit (GOF) test statistic (experimental!) |
| 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 |
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