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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.


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



Fitted model object returned from flexsurvmix.


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.


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.


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