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.

Version: 1.1
Depends: survival, R (≥ 2.15.0)
Imports: mstate (≥ 0.2.10), muhaz, mvtnorm, deSolve, quadprog, Rcpp (≥ 0.11.5)
LinkingTo: Rcpp
Suggests: eha, numDeriv, testthat, msm, ActuDistns, knitr, TH.data, colorspace
Published: 2017-03-27
Author: Christopher Jackson [aut, cre], Paul Metcalfe [ctb], Jordan Amdahl [ctb]
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: yes
Citation: flexsurv citation info
Materials: NEWS ChangeLog
In views: Distributions, Survival
CRAN checks: flexsurv results


Reference manual: flexsurv.pdf
Vignettes: flexsurv user guide
Supplementary examples of using flexsurv
Package source: flexsurv_1.1.tar.gz
Windows binaries: r-devel: flexsurv_1.1.zip, r-release: flexsurv_1.1.zip, r-oldrel: flexsurv_1.1.zip
OS X binaries: r-release: flexsurv_1.1.tgz, r-oldrel: flexsurv_1.1.tgz
Old sources: flexsurv archive

Reverse dependencies:

Reverse depends: flexsurvcure, survHE
Reverse imports: Countr, educineq, surv2sampleComp, SurvGSD
Reverse suggests: fitteR, heemod, mlt.docreg, msm, multistateutils, rprev, simsurv, survminer


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