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Calls survAUC::AUC.sh().

Assumes Cox PH model specification.

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 some of these measures may 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():

MeasureSurvSongAUC$new()
mlr_measures$get("surv.song_auc")
msr("surv.song_auc")

Parameters

IdTypeDefaultLevels
timesuntyped-
integratedlogicalTRUETRUE, FALSE
typecharacterincidentincident, cumulative

Meta Information

  • Type: "surv"

  • Range: \([0, 1]\)

  • Minimize: FALSE

  • Required prediction: lp

Parameter details

  • times (numeric())
    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.

  • integrated (logical(1))
    If TRUE (default), returns the integrated score (eg across time points); otherwise, not integrated (eg at a single time point).

  • type (character(1))
    A string defining the type of true positive rate (TPR): incident refers to incident TPR, cumulative refers to cumulative TPR.

References

Song, Xiao, Zhou, Xiao-Hua (2008). “A semiparametric approach for the covariate specific ROC curve with survival outcome.” Statistica Sinica, 18(3), 947--65. https://www.jstor.org/stable/24308524.

Super classes

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

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

MeasureSurvSongAUC$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.