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Calls survAUC::AUC.hc().

Assumes random censoring.

Details

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.

Dictionary

This Measure can be instantiated via the dictionary mlr_measures or with the associated sugar function msr():

MeasureSurvHungAUC$new()
mlr_measures$get("surv.hung_auc")
msr("surv.hung_auc")

Meta Information

  • Type: "surv"

  • Range: \([0, 1]\)

  • Minimize: FALSE

  • Required prediction: lp

References

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. https://www.jstor.org/stable/27805213.

Super classes

mlr3::Measure -> mlr3proba::MeasureSurv -> mlr3proba::MeasureSurvAUC -> MeasureSurvHungAUC

Methods

Inherited methods


Method new()

Creates a new instance of this R6 class.

Usage


Method clone()

The objects of this class are cloneable with this method.

Usage

MeasureSurvHungAUC$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.