R: Restricted mean times to events from a flexsurvmix model

rmst_flexsurvmix {flexsurv} | R Documentation

## Restricted mean times to events from a flexsurvmix model

### Description

This returns the restricted mean of each event-specific parametric time-to-event distribution in the mixture model, which is the mean time to event conditionally on that event being the one that happens, and conditionally on the event time being less than some time horizon `tot`.

### Usage

    rmst_flexsurvmix(x, newdata = NULL, tot = Inf, B = NULL)

### Arguments

`x` | Fitted model object returned from `flexsurvmix`.
`newdata` | Data frame or list of covariate values. If omitted for a model with covariates, a default is used, defined by all combinations of factors if the only covariates in the model are factors, or all covariate values of zero if there are any non-factor covariates in the model.
`tot` | Time horizon to compute the restricted mean until.
`B` | Number of simulations to use to compute 95% confidence intervals, based on the asymptotic multivariate normal distribution of the basic parameter estimates. If `B=NULL` then intervals are not computed.

### Value

Restricted mean times to next event conditionally on each alternative event, given the specified covariate values.

[Package flexsurv version 2.0 Index]