R: Mean time to final state in a mixture multi-state model

meanfinal_fmixmsm {flexsurv} | R Documentation

## Mean time to final state in a mixture multi-state model

### Description

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

### Usage

    meanfinal_fmixmsm(x, newdata = NULL, final = FALSE, B = NULL)

### 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.

### Value

A data frame of mean times to absorption, by covariate values and pathway (or by final state)

[Package flexsurv version 2.1 Index]