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 ROC.joint
plot(x, legend = TRUE, show.Youden = TRUE, show.F1 = FALSE, ...)an object with class ROC.joint.
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 legend = TRUE.
should a line be drawn showing optimal cut-point using Youden's J statistic?
Defaults to show.Youden = TRUE.
should a line be drawn showing optimal cut-point using the F-score?
Defaults to show.F1 = FALSE. Note that this measure comes under heavy criticism and is
included for completeness' sake.
additional arguments (none used).
James Murray (j.murray7@ncl.ac.uk).
dynPred and ROC