View source: R/summary.flexsurvmix.R

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`

.

1 | ```
ajfit_flexsurvmix(x, maxt = NULL, startname = "Start", B = NULL)
``` |

`x` |
Fitted model returned by |

`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 |

`B` |
Number of simulation replications to use to calculate a confidence
interval for the parametric estimates in |

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