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.
- Version2.3.2
- R version≥ 2.15.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- flexsurv citation info
- Last release08/17/2024
Documentation
- VignetteCalculating standardized survival measures in flexsurv
- Vignettesource
- VignetteR code
- Vignetteflexsurv user guide
- Vignettesource
- VignetteR code
- VignetteMulti-state modelling with flexsurv
- Vignettesource
- VignetteR code
- VignetteDistributions reference
- Vignettesource
- VignetteSupplementary examples of using flexsurv
- Vignettesource
- VignetteR code
- MaterialNEWS
- MaterialChangeLog
- In ViewsDistributions
- In ViewsSurvival
Team
Christopher Jackson
Paul Metcalfe
Show author detailsRolesContributorJordan Amdahl
Show author detailsRolesContributorMatthew T. Warkentin
Show author detailsRolesContributorMichael Sweeting
Show author detailsRolesContributorKevin Kunzmann
Show author detailsRolesContributor
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- Depends2 packages
- Imports20 packages
- Suggests13 packages
- Linking To1 package
- Reverse Depends3 packages
- Reverse Imports30 packages
- Reverse Suggests25 packages