# Simulate times to competing events from a mixture multi-state model

Source:`R/fmixmsm.R`

`simt_flexsurvmix.Rd`

Simulate times to competing events from a mixture multi-state model

## 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.

- n
Number of simulations

## Value

Data frame with `n*m`

rows and a column for each competing
event, where `m`

is the number of alternative covariate values, that
is the number of rows of `newdata`

. The simulated time represents
the time to that event conditionally on that event being the one that
occurs. This function doesn't simulate which event occurs.