Calculates Harrell's C, equivalent to the Fortran implementation in Hmisc.
This Measure can be instantiated via the dictionary mlr_measures or with the associated sugar function msr():
MeasureSurvHarrellC$new()
mlr_measures$get("surv.harrellC")
msr("surv.harrellC")
Type: "surv"
Range: \([0, 1]\)
Minimize: FALSE
Required prediction: crank
mlr3::Measure -> mlr3proba::MeasureSurv -> MeasureSurvHarrellC
new()Creates a new instance of this R6 class.
MeasureSurvHarrellC$new()
clone()The objects of this class are cloneable with this method.
MeasureSurvHarrellC$clone(deep = FALSE)
deepWhether to make a deep clone.
Harrell, E F, Califf, M R, Pryor, B D, Lee, L K, Rosati, A R (1982). “Evaluating the yield of medical tests.” Jama, 247(18), 2543--2546.
Other survival measures:
mlr_measures_surv.beggC,
mlr_measures_surv.calib_alpha,
mlr_measures_surv.calib_beta,
mlr_measures_surv.chambless_auc,
mlr_measures_surv.cindex,
mlr_measures_surv.gonenC,
mlr_measures_surv.grafSE,
mlr_measures_surv.graf,
mlr_measures_surv.hung_auc,
mlr_measures_surv.intloglossSE,
mlr_measures_surv.intlogloss,
mlr_measures_surv.logloss_se,
mlr_measures_surv.logloss,
mlr_measures_surv.maeSE,
mlr_measures_surv.mae,
mlr_measures_surv.mseSE,
mlr_measures_surv.mse,
mlr_measures_surv.nagelk_r2,
mlr_measures_surv.oquigley_r2,
mlr_measures_surv.rmseSE,
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.unoC,
mlr_measures_surv.uno_auc,
mlr_measures_surv.uno_tnr,
mlr_measures_surv.uno_tpr,
mlr_measures_surv.xu_r2
Other Concordance survival measures:
mlr_measures_surv.beggC,
mlr_measures_surv.gonenC,
mlr_measures_surv.unoC
Other crank survival measures:
mlr_measures_surv.unoC