R/fmixmsm.R
simt_flexsurvmix.Rd
Simulate times to competing events from a mixture multi-state model
simt_flexsurvmix(x, newdata = NULL, n)
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. |
n | Number of simulations |
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.