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.
Version: |
2.3.2 |
Depends: |
survival, R (≥ 2.15.0) |
Imports: |
assertthat, deSolve, generics, magrittr, mstate (≥ 0.2.10), Matrix, muhaz, mvtnorm, numDeriv, quadprog, Rcpp (≥ 0.11.5), rlang, rstpm2, purrr, statmod, tibble, tidyr, dplyr, tidyselect, ggplot2 |
LinkingTo: |
Rcpp |
Suggests: |
splines2, flexsurvcure, survminer, lubridate, rmarkdown, colorspace, eha, knitr, msm, testthat, TH.data, broom, covr |
Published: |
2024-08-17 |
DOI: |
10.32614/CRAN.package.flexsurv |
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 at mrc-bsu.cam.ac.uk> |
BugReports: |
https://github.com/chjackson/flexsurv/issues |
License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: |
https://github.com/chjackson/flexsurv,
http://chjackson.github.io/flexsurv/ |
NeedsCompilation: |
yes |
Citation: |
flexsurv citation info |
Materials: |
NEWS ChangeLog |
In views: |
Distributions, Survival |
CRAN checks: |
flexsurv results |