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flexsurv (version 1.1.1)

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

8,143

Version

1.1.1

License

GPL (>= 2)

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Repository

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

Maintainer

Christopher Jackson

Last Published

March 18th, 2019

Functions in flexsurv (1.1.1)

model.frame.flexsurvreg

Extract original data from flexsurvreg objects.

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

Generic function to find quantiles of a distribution

The Gompertz distribution

The log-logistic distribution

Flexible survival regression using the Royston/Parmar spline model.

Hazard and cumulative hazard functions

Generalized F distribution

Royston/Parmar spline survival distribution

Generalized gamma distribution

Weibull distribution in proportional hazards parameterisation

Generic function to find restricted mean survival of a distribution

Generalized gamma distribution (original parameterisation)

Bronchiolitis obliterans syndrome after lung transplants

coef.flexsurvreg

Extract model coefficients from fitted flexible survival models

plot.flexsurvreg

Plots of fitted flexible survival models

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

Generalized F distribution (original parameterisation)

lines.flexsurvreg

Add fitted flexible survival curves to a plot

Mean and restricted mean survival functions

normboot.flexsurvreg

Simulate from the asymptotic normal distribution of parameter estimates.

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

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

unroll.function

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

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

Natural cubic spline basis

Breast cancer survival data

flexsurv-package

flexsurv: Flexible parametric survival and multi-state models

Flexible parametric regression for time-to-event data

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

msfit.flexsurvreg

Cumulative intensity function for parametric multi-state models