flexsurv

Generalized F distribution

Generalized F distribution (original parameterisation)

Generalized gamma distribution

Generalized gamma distribution (original parameterisation)

The Gompertz distribution

The log-logistic distribution

Royston/Parmar spline survival distribution

Royston/Parmar spline survival distribution functions

Weibull distribution in proportional hazards parameterisation

Aalen-Johansen nonparametric estimates comparable to a fitted flexsurvmix model

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.

Augment data with information from a flexsurv model object

Natural cubic spline basis

Breast cancer survival data

Bootstrap confidence intervals for flexsurv output functions

Bronchiolitis obliterans syndrome after lung transplants

Extract model coefficients from fitted flexible survival models

helper function to safely convert a Hessian matrix to covariance matrix

Numerical evaluation of the hessian of a function using numDeriv::hessian

flexsurv: Flexible parametric survival and multi-state models

Flexible parametric mixture models for times to competing events

Flexible parametric regression for time-to-event data

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.

Constructor for a mixture multi-state model based on flexsurvmix

Construct a multi-state model from a set of parametric survival models

Evaluate baseline time-to-event distribution parameters given covariate values in a flexsurvmix model

Glance at a flexsurv model object

Hazard and cumulative hazard functions

Add fitted flexible survival curves to a plot

Mean times to events from a flexsurvmix model

Mean time to final state in a mixture multi-state model

Mean and restricted mean survival functions

Extract original data from flexsurvreg objects.

Cumulative intensity function for parametric multi-state models

Number of observations contributing to a fitted flexible survival model

Simulate from the asymptotic normal distribution of parameter estimates.

Transition probabilities from a flexsurvmix model

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

Probabilities of final states in a flexible parametric competing risks 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 probability matrix from a fully-parametric, semi-Markov multi-state model

Probability of each pathway taken through a mixture 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

Generic function to find quantiles of a distribution

Quantiles of time-to-event distributions in a flexsurvmix model

Objects exported from other packages

Calculate residuals for flexible survival models

Restricted mean times to events from a flexsurvmix model

Generic function to find restricted mean survival of a distribution

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

Simulate and summarise final outcomes from a flexible parametric multi-state model

Reformat simulated multi-state data with one row per simulated transition

Simulate times to competing events from a mixture multi-state model

Summaries of fitted flexible survival models

Summarise quantities of interest from fitted flexsurvrtrunc models

Nonparametric estimator of survival from right-truncated, uncensored data

Tidy a flexsurv model object

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

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

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