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Survival akritas estimator. Calls survivalmodels::akritas() from package 'survivalmodels'.

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

Parameters

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

Installation

Package 'survivalmodels' is not on CRAN and has to be install from GitHub via remotes::install_github("RaphaelS1/survivalmodels").

References

Akritas, G M (1994). “Nearest neighbor estimation of a bivariate distribution under random censoring.” The Annals of Statistics, 1299--1327.

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

learner = mlr3::lrn("surv.akritas")
print(learner)
#> <LearnerSurvAkritas:surv.akritas>: Akritas Estimator
#> * Model: -
#> * Parameters: list()
#> * Packages: mlr3, mlr3proba, mlr3extralearners, survivalmodels, distr6
#> * Predict Type: crank
#> * Feature types: logical, integer, character, numeric, factor
#> * Properties: -

# available parameters:
learner$param_set$ids()
#> [1] "lambda"  "reverse"