R: Kaplan-Meier Estimator Survival Learner

mlr_learners_surv.kaplan {mlr3proba} | R Documentation

## Kaplan-Meier Estimator Survival Learner

### Description

Calls `survival::survfit()`.

- distr is predicted by estimating the survival function with `survival::survfit()`

- `crank` is predicted as the expectation of the survival distribution, `distr`

### Dictionary

This Learner can be instantiated via the dictionary mlr_learners or with the associated sugar function lrn():

    LearnerSurvKaplan$new()
    mlr_learners$get("surv.kaplan")
    lrn("surv.kaplan")

### Meta Information

- Type: "surv"

- Predict Types: `crank, distr`

- Feature Types: `logical, integer, numeric, character, factor, ordered`

- Properties: `missings`

- Packages: survival distr6

### Super classes

`mlr3::Learner` -> `mlr3proba::LearnerSurv` -> `LearnerSurvKaplan`

### Methods

#### Public methods

- `LearnerSurvKaplan$new()`

- `LearnerSurvKaplan$clone()`

Inherited methods

- `mlr3::Learner$format()`

- `mlr3::Learner$help()`

- `mlr3::Learner$predict()`

- `mlr3::Learner$predict_newdata()`

- `mlr3::Learner$print()`

- `mlr3::Learner$reset()`

- `mlr3::Learner$train()`

#### Method `new()`

Creates a new instance of this R6 class.

##### Usage

    LearnerSurvKaplan$new()

#### Method `clone()`

The objects of this class are cloneable with this method.

##### Usage

    LearnerSurvKaplan$clone(deep = FALSE)

##### Arguments

`deep`

  Whether to make a deep clone.

### References

Kaplan EL, Meier P (1958). “Nonparametric Estimation from Incomplete Observations.” Journal of the American Statistical Association, 53(282), 457–481. doi: 10.1080/01621459.1958.10501452.

### See Also

Other survival learners: `mlr_learners_surv.coxph`, `mlr_learners_surv.rpart`

[Package mlr3proba version 0.4.0 Index]