This returns the 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.
mean_flexsurvmix(x, newdata = NULL, B = NULL)Mean times to next event conditionally on each alternative event, given the specified covariate values.
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.