Generalized gamma distribution
Royston/Parmar spline survival distribution functions
Weibull distribution in proportional hazards parameterisation
The log-logistic distribution
Generalized F distribution (original parameterisation)
Aalen-Johansen nonparametric estimates comparable to a fitted flexsurvmix
model
Generalized F distribution
The Gompertz distribution
Royston/Parmar spline survival distribution
Augment data with information from a flexsurv model object
Bronchiolitis obliterans syndrome after lung transplants
Generalized gamma distribution (original parameterisation)
Numerical evaluation of the hessian of a function using numDeriv::hessian
Natural cubic spline basis
Forms a tidy data frame for plotting the fit of parametric mixture
multi-state models against nonparametric estimates
Check the fit of Markov flexible parametric multi-state models against
nonparametric estimates.
helper function to safely convert a Hessian matrix to covariance matrix
Flexible parametric regression for time-to-event data
flexsurv: Flexible parametric survival and multi-state models
Flexible survival regression using the Royston/Parmar spline model.
Flexible parametric mixture models for times to competing events
Constructor for a mixture multi-state model based on flexsurvmix
Flexible parametric models for right-truncated, uncensored data defined by times of initial and final events.
Breast cancer survival data
Bootstrap confidence intervals for flexsurv output functions
Number of observations contributing to a fitted flexible survival model
Glance at a flexsurv model object
Simulate from the asymptotic normal distribution of parameter estimates.
Hazard and cumulative hazard functions
Add fitted flexible survival curves to a plot
Transition-specific parameters in a flexible parametric multi-state model
Construct a multi-state model from a set of parametric survival models
Transition probabilities from a flexsurvmix model
Simulate paths through a fully parametric semi-Markov multi-state model
Generic function to find quantiles of a distribution
Extract model coefficients from fitted flexible survival models
Evaluate baseline time-to-event distribution parameters given covariate values in a flexsurvmix model
Cumulative intensity function for parametric multi-state models
Plots of fitted flexible survival models
Quantiles of the distribution of the time until reaching a final state in a
mixture multi-state model
Expected total length of stay in specific states, from a fully-parametric,
semi-Markov multi-state model
Predictions from flexible survival models
Restricted mean times to events from a flexsurvmix model
Mean times to events from a flexsurvmix model
Mean time to final state in a mixture multi-state model
Probabilities of final states in a flexible parametric competing risks model
Calculate residuals for flexible survival models
Generic function to find restricted mean survival of a distribution
Convert a function with matrix arguments to a function with vector
arguments.
Extract original data from flexsurvreg
objects.
Transition probability matrix from a fully-parametric, semi-Markov
multi-state model
Probability of each pathway taken through a mixture multi-state model
Probabilities of competing events from a flexsurvmix model
Simulate times to competing events from a mixture multi-state model
Reformat simulated multi-state data with one row per simulated transition
Transition probability matrix from a fully-parametric, time-inhomogeneous
Markov multi-state model
Quantiles of time-to-event distributions in a flexsurvmix model
Tidy a flexsurv model object
Plot nonparametric estimates of survival from right-truncated data.
Mean and restricted mean survival functions
Total length of stay in particular states for a fully-parametric,
time-inhomogeneous Markov multi-state model
Simulate and summarise final outcomes from a flexible parametric multi-state
model
Objects exported from other packages
Summarise quantities of interest from fitted flexsurvrtrunc models
Summaries of fitted flexible survival models
Nonparametric estimator of survival from right-truncated, uncensored data