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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.3.2 |
rolling linux/jammy R-4.5 | flexsurv_2.3.2.tar.gz |
2.5 MiB |
2.3.2 |
rolling linux/noble R-4.5 | flexsurv_2.3.2.tar.gz |
2.5 MiB |
2.3.2 |
rolling source/ R- | flexsurv_2.3.2.tar.gz |
1.8 MiB |
2.3.2 |
latest linux/jammy R-4.5 | flexsurv_2.3.2.tar.gz |
2.5 MiB |
2.3.2 |
latest linux/noble R-4.5 | flexsurv_2.3.2.tar.gz |
2.5 MiB |
2.3.2 |
latest source/ R- | flexsurv_2.3.2.tar.gz |
1.8 MiB |
2.3.2 |
2026-04-26 source/ R- | flexsurv_2.3.2.tar.gz |
1.8 MiB |
2.3.2 |
2026-04-23 source/ R- | flexsurv_2.3.2.tar.gz |
1.8 MiB |
2.3.2 |
2026-04-09 windows/windows R-4.5 | flexsurv_2.3.2.zip |
2.8 MiB |
2.3.2 |
2025-04-20 source/ R- | flexsurv_2.3.2.tar.gz |
1.8 MiB |