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, based on either cause-specific hazards or mixture models.

Package details

AuthorChristopher Jackson [aut, cre], Paul Metcalfe [ctb], Jordan Amdahl [ctb], Matthew T. Warkentin [ctb], Michael Sweeting [ctb], Kevin Kunzmann [ctb]
MaintainerChristopher Jackson <chris.jackson@mrc-bsu.cam.ac.uk>
LicenseGPL (>= 2)
URL https://github.com/chjackson/flexsurv http://chjackson.github.io/flexsurv/
Package repositoryView on CRAN
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flexsurv documentation built on May 29, 2024, 3:08 a.m.