R: Mean times to events from a flexsurvmix model

mean_flexsurvmix {flexsurv} | R Documentation

## Mean times to events from a flexsurvmix model

### Description

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.

### Usage

    mean_flexsurvmix(x, newdata = NULL, B = NULL)

### 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.

### Value

Mean times to next event conditionally on each alternative event, given the specified covariate values.

[Package flexsurv version 2.1 Index]