R: Quantiles of time-to-event distributions in a flexsurvmix...

quantile_flexsurvmix {flexsurv} | R Documentation

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

### Description

This returns the quantiles of each event-specific parametric time-to-event distribution in the mixture model, which describes the time to the event conditionally on that event being the one that happens.

### Usage

    quantile_flexsurvmix(x, newdata = NULL, B = NULL, probs = c(0.025, 0.5, 0.975))

### 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.
`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.
`probs` | Vector of alternative quantiles, by default `c(0.025, 0.95, 0.975)` giving the median and a 95% interval.

[Package flexsurv version 2.0 Index]