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flexsurv: Flexible Parametric Survival and Multi-State Models
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.
Getting started
Browse package contents
Package details |
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| Author | Christopher Jackson [aut, cre], Paul Metcalfe [ctb], Jordan Amdahl [ctb], Matthew T. Warkentin [ctb], Michael Sweeting [ctb], Kevin Kunzmann [ctb] |
| Maintainer | Christopher Jackson <chris.jackson@mrc-bsu.cam.ac.uk> |
| License | GPL (>= 2) |
| Version | 2.3 |
| URL | https://github.com/chjackson/flexsurv http://chjackson.github.io/flexsurv/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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