View source: R/summary.flexsurvmix.R

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.

1 | ```
quantile_flexsurvmix(x, newdata = NULL, B = NULL, probs = c(0.025, 0.5, 0.975))
``` |

`x` |
Fitted model object returned from |

`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 |

`probs` |
Vector of alternative quantiles, by default |

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