Calls survAUC::AUC.sh().
Assumes Cox PH model specification.
R6::R6Class() inheriting from MeasureSurvAUC/MeasureSurv.
All measures implemented from survAUC should be used with care, we are aware
of problems in implementation that sometimes cause fatal errors in R. In future updates these
measures will all be re-written and implemented directly in mlr3proba.
MeasureSurvSongAUC$new(integrated = TRUE, times, type = c("incident","cumulative"))
mlr_measures$get("surv.songAUC")
msr("surv.songAUC")
integrated :: logical(1)
If TRUE (default), returns the integrated score; otherwise, not integrated.
times :: vector()
If integrate == TRUE then a vector of time-points over which to integrate the score. If integrate == FALSE then a single time point at which to return the score.
type :: character(1)
Determines the type of score, one of: 'cumulative', 'incident'. Default 'incident'.
Type: "surv"
Range: \([0, 1]\)
Minimize: FALSE
Required prediction: lp
See MeasureSurv, as well as all variables passed to the constructor.
Song, X. and X.-H. Zhou (2008).
A semiparametric approach for the covariate specific ROC curve with survival outcome.
Statistica Sinica 18, 947–965.
Other survival measures:
MeasureSurvBeggC,
MeasureSurvChamblessAUC,
MeasureSurvGonenC,
MeasureSurvGrafSE,
MeasureSurvGraf,
MeasureSurvHarrellC,
MeasureSurvHungAUC,
MeasureSurvIntLoglossSE,
MeasureSurvIntLogloss,
MeasureSurvLoglossSE,
MeasureSurvLogloss,
MeasureSurvNagelkR2,
MeasureSurvOQuigleyR2,
MeasureSurvSongTNR,
MeasureSurvSongTPR,
MeasureSurvUnoAUC,
MeasureSurvUnoC,
MeasureSurvUnoTNR,
MeasureSurvUnoTPR,
MeasureSurvXuR2
Other AUC survival measures:
MeasureSurvChamblessAUC,
MeasureSurvHungAUC,
MeasureSurvSongTNR,
MeasureSurvSongTPR,
MeasureSurvUnoAUC,
MeasureSurvUnoTNR,
MeasureSurvUnoTPR