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

Source:`R/summary.flexsurvmix.R`

`quantile_flexsurvmix.Rd`

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.