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, based on either cause-specific hazards or mixture models.
Package details |
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Maintainer | |
License | GPL (>= 2) |
Version | 2.3.2 |
URL | https://github.com/chjackson/flexsurv http://chjackson.github.io/flexsurv/ |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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