plot.ROC.joint | R Documentation |

Produces a simple plot showing the true positive rate (sensitivity) against
the false positive rate (1-specificy) for a dynamic prediction routine on a `joint`

model
along a specified time interval.

```
## S3 method for class 'ROC.joint'
plot(x, legend = TRUE, show.Youden = TRUE, show.F1 = FALSE, ...)
```

`x` |
an object with class |

`legend` |
should a legend displaying the number in risk set; number of failures in interval;
area under the ROC curve and median Brier score be added to the bottom-right corner of the ROC
plot? Default is |

`show.Youden` |
should a line be drawn showing optimal cut-point using Youden's J statistic?
Defaults to |

`show.F1` |
should a line be drawn showing optimal cut-point using the F-score?
Defaults to |

`...` |
additional arguments (none used). |

James Murray (j.murray7@ncl.ac.uk).

`dynPred`

and `ROC`

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