chjackson/flexsurv-dev: 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.

Getting started

Package details

Maintainer
LicenseGPL (>= 2)
Version2.3
URL https://github.com/chjackson/flexsurv http://chjackson.github.io/flexsurv/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("chjackson/flexsurv-dev")
chjackson/flexsurv-dev documentation built on April 23, 2024, 10:57 a.m.