Flexible parametric models for time-to-event data, including the Royston-Parmar spline model, generalized gamma and generalized F distributions. Any user-defined parametric distribution can be fitted, given at least an R function defining the probability density or hazard. There are also tools for fitting and predicting from fully parametric multi-state models.
copied from cf-staging / r-flexsurv| Label | Latest Version |
|---|---|
| main | 2.3.2 |
