mlr_learners_surv.coxph: Cox Proportional Hazards Survival Learner

In mlr3proba: Probabilistic Supervised Learning for 'mlr3'

Cox Proportional Hazards Survival Learner

Description

Calls survival::coxph().

• lp is predicted by survival::predict.coxph()

• distr is predicted by survival::survfit.coxph()

• crank is identical to lp

Dictionary

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

LearnerSurvCoxPH$new()
mlr_learners$get("surv.coxph")
lrn("surv.coxph")

Meta Information

• Type: "surv"

• Predict Types: distr, crank, lp

• Feature Types: logical, integer, numeric, factor

• Properties: weights

• Packages: mlr3 mlr3proba survival distr6

Super classes

mlr3::Learner -> mlr3proba::LearnerSurv -> LearnerSurvCoxPH

Methods

Public methods

• LearnerSurvCoxPH$new()

• LearnerSurvCoxPH$clone()

Inherited methods

• 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()

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Method new()

Creates a new instance of this R6 class.

Usage

LearnerSurvCoxPH$new()

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Method clone()

The objects of this class are cloneable with this method.

Usage

LearnerSurvCoxPH$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

References

Cox DR (1972). “Regression Models and Life-Tables.” Journal of the Royal Statistical Society: Series B (Methodological), 34(2), 187–202. doi: 10.1111/j.2517-6161.1972.tb00899.x.

See Also

Other survival learners: mlr_learners_surv.kaplan, mlr_learners_surv.rpart

mlr3proba documentation built on April 25, 2022, 5:07 p.m.