mlr_measures_surv.uno_tnr: Uno's TNR Survival Measure

In mlr-org/mlr3proba: Probabilistic Supervised Learning for 'mlr3'

Uno's TNR Survival Measure

Description

Calls survAUC::spec.uno().

Assumes random censoring.

times and lp_thresh are arbitrarily set to 0 to prevent crashing, these should be further specified.

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():

MeasureSurvUnoTNR$new()
mlr_measures$get("surv.uno_tnr")
msr("surv.uno_tnr")

Parameters

Id	Type	Default	Range
times	numeric	-	[0, \infty)
lp_thresh	numeric	0	(-\infty, \infty)

Meta Information

• Type: "surv"

• Range: [0, 1]

• Minimize: FALSE

• Required prediction: lp

Parameter details

• times (numeric())
  A vector of time-points at which we calculate the TPR/TNR scores.

• lp_thresh (numeric(1))
  Determines the cutoff threshold of the linear predictor in the calculation of the TPR/TNR scores.

Super classes

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

Methods

Public methods

• MeasureSurvUnoTNR$new()

• MeasureSurvUnoTNR$clone()

Inherited methods

• mlr3::Measure$aggregate()
• mlr3::Measure$format()
• mlr3::Measure$help()
• mlr3::Measure$print()
• mlr3::Measure$score()

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Method new()

Creates a new instance of this R6 class.

Usage

MeasureSurvUnoTNR$new()

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Method clone()

The objects of this class are cloneable with this method.

Usage

MeasureSurvUnoTNR$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

References

Uno H, Cai T, Tian L, Wei LJ (2007). “Evaluating Prediction Rules fort-Year Survivors With Censored Regression Models.” Journal of the American Statistical Association, 102(478), 527–537. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1198/016214507000000149")}.

See Also

Other survival measures: mlr_measures_surv.calib_alpha, mlr_measures_surv.calib_beta, mlr_measures_surv.calib_index, 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_tpr, mlr_measures_surv.xu_r2

Other AUC survival measures: mlr_measures_surv.chambless_auc, mlr_measures_surv.hung_auc, mlr_measures_surv.song_auc, mlr_measures_surv.song_tnr, mlr_measures_surv.song_tpr, mlr_measures_surv.uno_auc, mlr_measures_surv.uno_tpr

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_tpr, mlr_measures_surv.xu_r2

mlr-org/mlr3proba documentation built on April 12, 2025, 4:38 p.m.