Survival Akritas Estimator Learner

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")

Traits

• Packages: survivalmodels, distr6

• Predict Types: crank, distr

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

• Properties:

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

Dictionary of Learners: mlr3::mlr_learners

Author

RaphaelS1

Super classes

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

Methods

Public methods

• LearnerSurvAkritas$new()

• LearnerSurvAkritas$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

LearnerSurvAkritas$new()

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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

# stop example failing with warning if package not installed
learner = suppressWarnings(mlr3::lrn("surv.akritas"))
print(learner)
#> <LearnerSurvAkritas:surv.akritas>
#> * Model: -
#> * Parameters: list()
#> * Packages: survivalmodels, distr6
#> * Predict Type: crank
#> * Feature types: logical, integer, character, numeric, factor
#> * Properties: -

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