plot.ROC.joint: Plot receiver operator characteristics.

In gmvjoint: Joint Models of Survival and Multivariate Longitudinal Data

Plot receiver operator characteristics.

Description

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.

Usage

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

Arguments

x	an object with class ROC.joint.
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 legend = TRUE.
show.Youden	should a line be drawn showing optimal cut-point using Youden's J statistic? Defaults to show.Youden = TRUE.
show.F1	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).

Author(s)

James Murray ([e-mail]).

See Also

dynPred and ROC

gmvjoint documentation built on Oct. 6, 2024, 1:07 a.m.