mlr3proba (version 0.2.1)

mlr_learners_surv.coxph: 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: survival distr6

Super classes

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

Methods

Public methods

• LearnerSurvCoxPH$new()

• LearnerSurvCoxPH$clone()

• 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

LearnerSurvCoxPH$new()

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

mlr3probacox_1972

See Also

Other survival learners: mlr_learners_surv.kaplan, mlr_learners_surv.rpart