Function reference • flexsurv

All functions
`dgenf()` `pgenf()` `Hgenf()` `hgenf()` `qgenf()` `rgenf()`	Generalized F distribution
`dgenf.orig()` `pgenf.orig()` `Hgenf.orig()` `hgenf.orig()` `qgenf.orig()` `rgenf.orig()`	Generalized F distribution (original parameterisation)
`dgengamma()` `pgengamma()` `Hgengamma()` `hgengamma()` `qgengamma()` `rgengamma()`	Generalized gamma distribution
`dgengamma.orig()` `pgengamma.orig()` `Hgengamma.orig()` `hgengamma.orig()` `qgengamma.orig()` `rgengamma.orig()`	Generalized gamma distribution (original parameterisation)
`dgompertz()` `pgompertz()` `qgompertz()` `rgompertz()` `hgompertz()` `Hgompertz()`	The Gompertz distribution
`Llogis`	The log-logistic distribution
`Survspline`	Royston/Parmar spline survival distribution
`WeibullPH`	Weibull distribution in proportional hazards parameterisation
`basis()`	Natural cubic spline basis
`bc`	Breast cancer survival data
`bos`	Bronchiolitis obliterans syndrome after lung transplants
`coef(<flexsurvreg>)`	Extract model coefficients from fitted flexible survival models
`flexsurv-package`	flexsurv: Flexible parametric survival and multi-state models
`flexsurvreg()`	Flexible parametric regression for time-to-event data
`flexsurvspline()`	Flexible survival regression using the Royston/Parmar spline model.
`hexp()` `Hexp()` `hgamma()` `Hgamma()` `hlnorm()` `Hlnorm()` `hweibull()` `Hweibull()`	Hazard and cumulative hazard functions
`lines(<flexsurvreg>)`	Add fitted flexible survival curves to a plot
`mean_exp()` `rmst_exp()` `mean_gamma()` `rmst_gamma()` `rmst_genf()` `mean_genf()` `rmst_genf.orig()` `mean_genf.orig()` `rmst_gengamma()` `mean_gengamma()` `rmst_gengamma.orig()` `mean_gengamma.orig()` `rmst_gompertz()` `mean_gompertz()` `mean_lnorm()` `rmst_lnorm()` `mean_weibull()` `rmst_weibull()`	Mean and restricted mean survival functions
`model.frame(<flexsurvreg>)` `model.matrix(<flexsurvreg>)`	Extract original data from `flexsurvreg` objects.
`msfit.flexsurvreg()`	Cumulative intensity function for parametric multi-state models
`normboot.flexsurvreg()`	Simulate from the asymptotic normal distribution of parameter estimates.
`pars.fmsm()`	Transition-specific parameters in a flexible parametric multi-state model
`plot(<flexsurvreg>)`	Plots of fitted flexible survival models
`pmatrix.fs()`	Transition probability matrix from a fully-parametric, time-inhomogeneous Markov multi-state model
`pmatrix.simfs()`	Transition probability matrix from a fully-parametric, semi-Markov multi-state model
`qgeneric()`	Generic function to find quantiles of a distribution
`rmst_generic()`	Generic function to find restricted mean survival of a distribution
`sim.fmsm()`	Simulate paths through a fully parametric semi-Markov multi-state model
`summary(<flexsurvreg>)`	Summaries of fitted flexible survival models
`totlos.fs()`	Total length of stay in particular states for a fully-parametric, time-inhomogeneous Markov multi-state model
`totlos.simfs()`	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.

Reference

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