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flexsurv (version 1.0.0)

Flexible Parametric Survival and Multi-State Models

Description

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.

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Install

install.packages('flexsurv')

Monthly Downloads

8,465

Version

1.0.0

License

GPL (>= 2)

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Repository

https://github.com/chjackson/flexsurv-dev

Maintainer

Christopher Jackson

Last Published

May 11th, 2016

Functions in flexsurv (1.0.0)

Generalized gamma distribution

Generalized F distribution

The log-logistic distribution

Flexible survival regression using the Royston/Parmar spline model.

flexsurv-package

flexsurv: Flexible parametric survival and multi-state models

Simulate paths through a fully parametric semi-Markov multi-state model

unroll.function

Convert a function with matrix arguments to a function with vector arguments.

Hazard and cumulative hazard functions for standard distributions

Hazard and cumulative hazard functions

msfit.flexsurvreg

Cumulative intensity function for parametric multi-state models

Transition probability matrix from a fully-parametric, semi-Markov multi-state model

lines.flexsurvreg

Add fitted flexible survival curves to a plot

Generalized gamma distribution (original parameterisation)

Generalized F distribution (original parameterisation)

Weibull distribution in proportional hazards parameterisation

Royston/Parmar spline survival distribution

summary.flexsurvreg

Summaries of fitted flexible survival models

Total length of stay in particular states for a fully-parametric, time-inhomogeneous Markov multi-state model

Expected total length of stay in specific states, from a fully-parametric, semi-Markov multi-state model

Natural cubic spline basis

model.frame.flexsurvreg

Extract original data from flexsurvreg objects.

Breast cancer survival data

The Gompertz distribution

Bronchiolitis obliterans syndrome after lung transplants

normboot.flexsurvreg

Simulate from the asymptotic normal distribution of parameter estimates.

Generic function to find quantiles of a distribution

Transition-specific parameters in a flexible parametric multi-state model

Transition probability matrix from a fully-parametric, time-inhomogeneous Markov multi-state model

Flexible parametric regression for time-to-event data

plot.flexsurvreg

Plots of fitted flexible survival models