Cox Proportional Hazards

Calls survival::coxph() during training. During prediction, the linear predictor is estimated using survival::predict.coxph() while the survival distribution using the Breslow estimator using survival::survfit.coxph()

Dictionary

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

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

Meta Information

• Task type: “surv”

• Predict Types: “crank”, “distr”, “lp”

• Feature Types: “logical”, “integer”, “numeric”, “factor”

• Required Packages: mlr3, mlr3survival, survival

Parameters

Id	Type	Default	Levels	Range
ties	character	efron	efron, breslow, exact	-
singular.ok	logical	TRUE	TRUE, FALSE	-
type	character	efron	efron, aalen, kalbfleisch-prentice	-
stype	integer	2		\([1, 2]\)

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

Super classes

mlr3::Learner -> mlr3survival::LearnerSurv -> LearnerSurvCoxPH

Methods

Public methods

• LearnerSurvCoxPH$new()

• LearnerSurvCoxPH$clone()

Inherited methods

• mlr3::Learner$base_learner()
• mlr3::Learner$configure()
• mlr3::Learner$encapsulate()
• mlr3::Learner$format()
• mlr3::Learner$help()
• mlr3::Learner$predict()
• mlr3::Learner$predict_newdata()
• mlr3::Learner$print()
• mlr3::Learner$reset()
• mlr3::Learner$selected_features()
• 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.