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

Source:`R/summary.flexsurvmix.R`

`ajfit_flexsurvmix.Rd`

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`

.

## 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.