R: Uno's C-Index Survival Measure

mlr_measures_surv.unoC {mlr3proba} | R Documentation

## Uno's C-Index Survival Measure

### Description

Calls `survAUC::UnoC()`.

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():

    MeasureSurvUnoC$new()
    mlr_measures$get("surv.unoC")
    msr("surv.unoC")

### Meta Information

- Type: `"surv"`

- Range: [0, 1]

- Minimize: `FALSE`

- Required prediction: `crank`

### Super classes

`mlr3::Measure` -> `mlr3proba::MeasureSurv` -> `MeasureSurvUnoC`

### Methods

#### Public methods

- `MeasureSurvUnoC$new()`

- `MeasureSurvUnoC$clone()`

Inherited methods

- `mlr3::Measure$aggregate()`

- `mlr3::Measure$format()`

- `mlr3::Measure$help()`

- `mlr3::Measure$score()`

- `mlr3proba::MeasureSurv$print()`

#### Method `new()`

Creates a new instance of this R6 class.

##### Usage

    MeasureSurvUnoC$new()

#### Method `clone()`

The objects of this class are cloneable with this method.

##### Usage

    MeasureSurvUnoC$clone(deep = FALSE)

##### Arguments

`deep`

  Whether to make a deep clone.

### References

Uno H, Cai T, Pencina MJ, D'Agostino RB, Wei LJ (2011). “On the C-statistics for evaluating overall adequacy of risk prediction procedures with censored survival data.” Statistics in Medicine, n/a–n/a. doi: 10.1002/sim.4154.

### See Also

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.harrellC`, `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.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.harrellC`

Other crank survival measures: `mlr_measures_surv.harrellC`

[Package mlr3proba version 0.3.2 Index]