Calls survival::coxph().

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: importance

  • Packages: survival distr6

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

Super classes

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

Methods

Public methods

Inherited methods

Method new()

Creates a new instance of this R6 class.

Usage

LearnerSurvCoxPH$new()


Method importance()

The importance scores are extracted from the model slot variable.importance.

Usage

LearnerSurvCoxPH$importance()

Returns

Named numeric().


Method selected_features()

Selected features are extracted from the model slot frame$var.

Usage

LearnerSurvCoxPH$selected_features()

Returns

character().


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.