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.
| Version: |
0.7 |
| Depends: |
survival, R (≥ 2.15.0) |
| Imports: |
mstate, muhaz, mvtnorm, deSolve, quadprog |
| Suggests: |
eha, numDeriv, testthat, msm, ActuDistns, knitr, TH.data, colorspace |
| Published: |
2015-11-13 |
| Author: |
Christopher Jackson |
| Maintainer: |
Christopher Jackson <chris.jackson at mrc-bsu.cam.ac.uk> |
| BugReports: |
https://github.com/chjackson/flexsurv-dev/issues |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://github.com/chjackson/flexsurv-dev |
| NeedsCompilation: |
no |
| Materials: |
NEWS ChangeLog |
| In views: |
Distributions, Survival |
| CRAN checks: |
flexsurv results |