Calls survAUC::AUC.hc().

Assumes random censoring.


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.


MeasureSurvHungAUC$new(integrated = TRUE, times)
  • 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.

Meta Information

  • Type: "surv"

  • Range: \([0, 1]\)

  • Minimize: FALSE

  • Required prediction: lp


See MeasureSurv, as well as all variables passed to the constructor.


Hung H, Chiang C (2010). “Estimation methods for time-dependent AUC models with survival data.” The Canadian Journal of Statistics / La Revue Canadienne de Statistique, 38(1), 8--26.

See also