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