Calls survival::survfit from package survival.

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")

Traits

  • Packages: survival, pracma

  • Predict Types: crank, distr

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

  • Properties: missings

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

Author

RaphaelS1

Super classes

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

Methods

Public methods

Inherited methods

Method new()

Creates a new instance of this R6 class.

Usage

LearnerSurvNelson$new()


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.

Examples

# stop example failing with warning if package not installed learner = suppressWarnings(mlr3::lrn("surv.nelson")) print(learner)
#> <LearnerSurvNelson:surv.nelson> #> * Model: - #> * Parameters: list() #> * Packages: survival, pracma #> * Predict Type: crank #> * Feature types: logical, integer, numeric, character, factor, ordered #> * Properties: missings
# available parameters: learner$param_set$ids()
#> character(0)