R: Quantiles of the distribution of the time until reaching a...

qfinal_fmixmsm {flexsurv} | 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.

[Package flexsurv version 2.1 Index]