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

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

Super classes

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

Methods

Public methods

Inherited methods

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.