mlr_learners_surv.coxph | R Documentation |
Calls survival::coxph()
.
lp is predicted by survival::predict.coxph()
distr is predicted by survival::survfit.coxph()
crank
is identical to lp
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")
Type: "surv"
Predict Types: distr, crank, lp
Feature Types: logical, integer, numeric, factor
Properties: weights
mlr3::Learner
-> mlr3proba::LearnerSurv
-> LearnerSurvCoxPH
new()
Creates a new instance of this R6 class.
LearnerSurvCoxPH$new()
clone()
The objects of this class are cloneable with this method.
LearnerSurvCoxPH$clone(deep = FALSE)
deep
Whether to make a deep clone.
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.
Other survival learners:
mlr_learners_surv.kaplan
,
mlr_learners_surv.rpart
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