R: Forms a tidy data frame for plotting the fit of parametric...

ajfit_flexsurvmix {flexsurv} | R Documentation

## Forms a tidy data frame for plotting the fit of parametric mixture multi-state models against nonparametric estimates

### Description

This computes Aalen-Johansen estimates of the probability of occupying each state at a series of times, using `ajfit`. The equivalent estimates from the parametric model are then produced using `p_flexsurvmix`, and concatenated with the nonparametric estimates to form a tidy data frame. This data frame can then simply be plotted using `ggplot`.

### Usage

    ajfit_flexsurvmix(x, maxt = NULL, startname = "Start", B = NULL)

### Arguments

`x` | Fitted model returned by `flexsurvmix`.
`maxt` | Maximum time to produce parametric estimates for. By default this is the maximum event time in the data, the maximum time we have nonparametric estimates for.
`startname` | Label to give the state corresponding to "no event happened yet". By default this is `"Start"`.
`B` | Number of simulation replications to use to calculate a confidence interval for the parametric estimates in `p_flexsurvmix`. Comparable intervals for the Aalen-Johansen estimates are returned if this is set. Otherwise if `B=NULL` then no intervals are returned.

[Package flexsurv version 2.1 Index]