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Dictionary

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

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

Meta Information

  • Task type: “surv”

  • Predict Types: “crank”, “distr”

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

  • Required Packages: mlr3extralearners, survivalmodels, distr6

Parameters

IdTypeDefaultLevelsRange
lambdanumeric0.5\([0, 1]\)
reverselogicalFALSETRUE, FALSE\((-\infty, \infty)\)

References

Akritas, M. G. (1994). Nearest Neighbor Estimation of a Bivariate Distribution Under Random Censoring. Ann. Statist., 22(3), 1299–1327. doi: 10.1214/aos/1176325630

See also

Author

RaphaelS1

Super classes

mlr3::Learner -> mlr3proba::LearnerSurv -> LearnerSurvAkritas

Methods

Inherited methods


Method new()

Creates a new instance of this R6 class.

Usage


Method clone()

The objects of this class are cloneable with this method.

Usage

LearnerSurvAkritas$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

if (requireNamespace("survivalmodels", quietly = TRUE) && requireNamespace("distr6", quietly = TRUE)) {
  learner = mlr3::lrn("surv.akritas")
  print(learner)

  # available parameters:
  learner$param_set$ids()
}
#> <LearnerSurvAkritas:surv.akritas>
#> * Model: -
#> * Parameters: list()
#> * Packages: mlr3, mlr3extralearners, survivalmodels, distr6
#> * Predict Type: crank
#> * Feature types: logical, integer, character, numeric, factor
#> * Properties: -
#> [1] "lambda"  "reverse"