R: O'Quigley, Xu, and Stare's R2 Survival Measure

mlr_measures_surv.oquigley_r2 {mlr3proba} | R Documentation

## O'Quigley, Xu, and Stare's R2 Survival Measure

### Description

Calls `survAUC::OXS()`.

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 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():

    MeasureSurvOQuigleyR2$new()
    mlr_measures$get("surv.oquigley_r2")
    msr("surv.oquigley_r2")

### Meta Information

- Type: `"surv"`

- Range: [0, 1]

- Minimize: `FALSE`

- Required prediction: `lp`

### Super classes

`mlr3::Measure` -> `mlr3proba::MeasureSurv` -> `MeasureSurvOQuigleyR2`

### Methods

#### Public methods

- `MeasureSurvOQuigleyR2$new()`

- `MeasureSurvOQuigleyR2$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

    MeasureSurvOQuigleyR2$new()

#### Method `clone()`

The objects of this class are cloneable with this method.

##### Usage

    MeasureSurvOQuigleyR2$clone(deep = FALSE)

##### Arguments

`deep`

  Whether to make a deep clone.

### References

O'Quigley J, Xu R, Stare J (2005). “Explained randomness in proportional hazards models.” Statistics in Medicine, 24(3), 479–489. doi: 10.1002/sim.1946.

### See Also

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.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 R2 survival measures: `mlr_measures_surv.nagelk_r2`, `mlr_measures_surv.xu_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.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`

[Package mlr3proba version 0.4.0 Index]