mlr3proba (version 0.4.9)

mlr_learners_surv.kaplan: 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: mlr3 mlr3proba survival distr6

Super classes

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

Methods

Public methods

• LearnerSurvKaplan$new()

• LearnerSurvKaplan$clone()

• mlr3::Learner$base_learner()

• 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. 10.1080/01621459.1958.10501452.

See Also

Other survival learners: mlr_learners_surv.coxph, mlr_learners_surv.rpart