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: | 0.5 |
| Depends: | survival |
| Imports: | muhaz, mvtnorm, deSolve |
| Suggests: | eha, mstate, numDeriv, testthat, msm, ActuDistns |
| Published: | 2014-09-22 |
| Author: | Christopher Jackson |
| Maintainer: | Christopher Jackson <chris.jackson at mrc-bsu.cam.ac.uk> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Materials: | NEWS ChangeLog |
| In views: | Distributions, Survival |
| CRAN checks: | flexsurv results |
| Reference manual: | flexsurv.pdf |
| Vignettes: |
some examples of using flexsurv flexsurv user guide |
| Package source: | flexsurv_0.5.tar.gz |
| Windows binaries: | r-devel: flexsurv_0.5.zip, r-release: flexsurv_0.5.zip, r-oldrel: flexsurv_0.5.zip |
| OS X Snow Leopard binaries: | r-release: flexsurv_0.5.tgz, r-oldrel: flexsurv_0.5.tgz |
| OS X Mavericks binaries: | r-release: flexsurv_0.5.tgz |
| Old sources: | flexsurv archive |
| Reverse depends: | surv2sampleComp |