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flexsurv (version 0.7.1)

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

12,052

Version

0.7.1

License

GPL (>= 2)

Issues

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Repository

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

Maintainer

Christopher Jackson

Last Published

March 24th, 2016

Functions in flexsurv (0.7.1)

The log-logistic distribution

Generalized F distribution (original parameterisation)

Flexible survival regression using the Royston/Parmar spline model.

Flexible parametric regression for time-to-event data

plot.flexsurvreg

Plots of fitted flexible survival models

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

Generalized gamma distribution (original parameterisation)

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

The Gompertz distribution

Generic function to find quantiles of a distribution

lines.flexsurvreg

Add fitted flexible survival curves to a plot

flexsurv-package

flexsurv: Flexible parametric survival and multi-state models

Breast cancer survival data

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

Generalized F distribution

Natural cubic spline basis

Royston/Parmar spline survival distribution

Bronchiolitis obliterans syndrome after lung transplants

unroll.function

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

Weibull distribution in proportional hazards parameterisation

Generalized gamma distribution

model.frame.flexsurvreg

Extract original data from flexsurvreg objects.

normboot.flexsurvreg

Simulate from the asymptotic normal distribution of parameter estimates.

msfit.flexsurvreg

Cumulative intensity function for parametric multi-state models

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

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

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

summary.flexsurvreg

Summaries of fitted flexible survival models

Hazard and cumulative hazard functions for standard distributions

Hazard and cumulative hazard functions