Calls survAUC::XO()
.
Assumes Cox PH model specification.
This Measure can be instantiated via the dictionary mlr_measures or with the associated sugar function msr():
MeasureSurvXuR2$new() mlr_measures$get("surv.xu_r2") msr("surv.xu_r2")
Type: "surv"
Range: \([0, 1]\)
Minimize: FALSE
Required prediction: lp
mlr3::Measure
-> mlr3proba::MeasureSurv
-> MeasureSurvXuR2
new()
Creates a new instance of this R6 class.
MeasureSurvXuR2$new()
clone()
The objects of this class are cloneable with this method.
MeasureSurvXuR2$clone(deep = FALSE)
deep
Whether to make a deep clone.
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
.
Xu R, O'Quigley J (1999). “A R2 type measure of dependence for proportional hazards models.” Journal of Nonparametric Statistics, 12(1), 83--107. 10.1080/10485259908832799.
Other survival measures:
mlr_measures_surv.calib_alpha
,
mlr_measures_surv.calib_beta
,
mlr_measures_surv.chambless_auc
,
mlr_measures_surv.cindex
,
mlr_measures_surv.dcalib
,
mlr_measures_surv.graf
,
mlr_measures_surv.hung_auc
,
mlr_measures_surv.intlogloss
,
mlr_measures_surv.logloss
,
mlr_measures_surv.mae
,
mlr_measures_surv.mse
,
mlr_measures_surv.nagelk_r2
,
mlr_measures_surv.oquigley_r2
,
mlr_measures_surv.rcll
,
mlr_measures_surv.rmse
,
mlr_measures_surv.schmid
,
mlr_measures_surv.song_auc
,
mlr_measures_surv.song_tnr
,
mlr_measures_surv.song_tpr
,
mlr_measures_surv.uno_auc
,
mlr_measures_surv.uno_tnr
,
mlr_measures_surv.uno_tpr
Other R2 survival measures:
mlr_measures_surv.nagelk_r2
,
mlr_measures_surv.oquigley_r2
Other lp survival measures:
mlr_measures_surv.calib_beta
,
mlr_measures_surv.chambless_auc
,
mlr_measures_surv.hung_auc
,
mlr_measures_surv.nagelk_r2
,
mlr_measures_surv.oquigley_r2
,
mlr_measures_surv.song_auc
,
mlr_measures_surv.song_tnr
,
mlr_measures_surv.song_tpr
,
mlr_measures_surv.uno_auc
,
mlr_measures_surv.uno_tnr
,
mlr_measures_surv.uno_tpr