mlr_learners_surv.nelson: Survival Nelson-Aalen Estimator Learner

In mlr3learners/mlr3learners.survival: Learners from the {survival} package for 'mlr3'

Description

A mlr3proba::LearnerSurv implementing survfit from package survival. Calls survival::survfit().

Details

• distr is predicted by estimating the cumulative hazard function from survival::survfit().

• crank is predicted as the expectation of distr

Dictionary

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

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

Super classes

mlr3::Learner -> mlr3proba::LearnerSurv -> LearnerSurvNelson

Methods

Public methods

• LearnerSurvNelson$new()

• LearnerSurvNelson$clone()

Inherited methods

• 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

LearnerSurvNelson$new()

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Method clone()

The objects of this class are cloneable with this method.

Usage

LearnerSurvNelson$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

References

Nelson W (1969). Hazard Plotting for Incomplete Failure Data. Journal of Quality Technology, 1(1), 27–52. doi: 10.1080/00224065.1969.11980344.

Nelson, W. (1972). Theory and Applications of Hazard Plotting for Censored Failure Data. Technometrics, 14(4), 945–966.

Aalen, O. (1978). Nonparametric Inference for a Family of Counting Processes. The Annals of Statistics, 6(4), 701–726.

See Also

Dictionary of Learners: mlr3::mlr_learners

Examples

if (requireNamespace("survival")) {
  learner = mlr3::lrn("surv.nelson")
  print(learner)

  # available parameters:
  learner$param_set$ids()
}

mlr3learners/mlr3learners.survival documentation built on Aug. 9, 2020, 3:46 a.m.