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: 1.0.0
Depends: survival, R (≥ 2.15.0)
Imports: mstate, muhaz, mvtnorm, deSolve, quadprog
Suggests: eha, numDeriv, testthat, msm, ActuDistns, knitr, TH.data, colorspace
Published: 2016-05-11
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
Citation: flexsurv citation info
Materials: NEWS ChangeLog
In views: Distributions, Survival
CRAN checks: flexsurv results

Downloads:

Reference manual: flexsurv.pdf
Vignettes: flexsurv user guide
Supplementary examples of using flexsurv
Package source: flexsurv_1.0.0.tar.gz
Windows binaries: r-devel: flexsurv_1.0.0.zip, r-release: flexsurv_1.0.0.zip, r-oldrel: flexsurv_1.0.0.zip
OS X Mavericks binaries: r-release: flexsurv_1.0.0.tgz, r-oldrel: flexsurv_1.0.0.tgz
Old sources: flexsurv archive

Reverse dependencies:

Reverse depends: surv2sampleComp
Reverse imports: rem
Reverse suggests: Countr, mlt.docreg, msm

Linking:

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