# Quantiles of the distribution of the time until reaching a final state in a mixture multi-state model

Source:`R/fmixmsm.R`

`qfinal_fmixmsm.Rd`

Calculate the quantiles of the time from the start of the process to each possible final (or "absorbing") state in a mixture multi-state model. Models with cycles are not supported.

## Usage

```
qfinal_fmixmsm(
x,
newdata = NULL,
final = FALSE,
B = NULL,
n = 10000,
probs = c(0.025, 0.5, 0.975)
)
```

## Arguments

- x
Object returned by

`fmixmsm`

, representing a multi-state model built from piecing together mixture models fitted by`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.

- final
If

`TRUE`

then the mean time to the final state is calculated for each final state, by taking a weighted average of the mean time to travel each pathway ending in that final state, weighted by the probability of the pathway. If`FALSE`

(the default) then a separate mean is calculated for each pathway.- 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.- n
Number of individual-level simulations to use to characterise the time-to-event distributions

- probs
Quantiles to calculate, by default,

`c(0.025, 0.5, 0.975)`