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flexsurv (version 0.6)

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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Version

Install

install.packages('flexsurv')

Monthly Downloads

8,465

Version

0.6

License

GPL (>= 2)

Maintainer

Christopher Jackson

Last Published

April 14th, 2015

Functions in flexsurv (0.6)

Flexible parametric regression for time-to-event data

Generalized F distribution (original parameterisation)

unroll.function

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

summary.flexsurvreg

Summaries of fitted flexible survival models

lines.flexsurvreg

Add fitted flexible survival curves to a plot

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

Generic function to find quantiles of a distribution

Generalized gamma distribution (original parameterisation)

Royston/Parmar spline survival distribution

flexsurv-package

flexsurv: Flexible parametric survival and multi-state models

Generalized gamma distribution

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

normboot.flexsurvreg

Simulate from the asymptotic normal distribution of parameter estimates.

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

Hazard and cumulative hazard functions for standard distributions

Hazard and cumulative hazard functions

Bronchiolitis obliterans syndrome after lung transplants

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

plot.flexsurvreg

Plots of fitted flexible survival models

Natural cubic spline basis

Breast cancer survival data

msfit.flexsurvreg

Cumulative intensity function for parametric multi-state models

model.frame.flexsurvreg

Extract original data from flexsurvreg objects.

Flexible survival regression using the Royston/Parmar spline model.

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

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

The Gompertz distribution

Generalized F distribution

The log-logistic distribution