# qfinal_fmixmsm: Quantiles of the distribution of the time until reaching a... In flexsurv: Flexible Parametric Survival and Multi-State Models

 qfinal_fmixmsm R Documentation

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

### Description

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)`

### Value

Data frame of quantiles of the time to final state by pathway and covariate value, or by final state and covariate value.

flexsurv documentation built on Feb. 16, 2023, 5:07 p.m.