Survival Nelson-Aalen Estimator Learner
mlr_learners_surv.nelson.Rd
Non-parametric estimator of the cumulative hazard rate function.
Calls survival::survfit()
from survival.
Dictionary
This Learner can be instantiated via the dictionary mlr_learners or with the associated sugar function lrn()
:
Meta Information
Task type: “surv”
Predict Types: “crank”, “distr”
Feature Types: “logical”, “integer”, “numeric”, “character”, “factor”, “ordered”
Required Packages: mlr3, mlr3proba, mlr3extralearners, survival, pracma
References
Nelson, Wayne (1969). “Hazard plotting for incomplete failure data.” Journal of Quality Technology, 1(1), 27--52.
Nelson, Wayne (1972). “Theory and applications of hazard plotting for censored failure data.” Technometrics, 14(4), 945--966.
Aalen, Odd (1978). “Nonparametric inference for a family of counting processes.” The Annals of Statistics, 701--726.
See also
as.data.table(mlr_learners)
for a table of available Learners in the running session (depending on the loaded packages).Chapter in the mlr3book: https://mlr3book.mlr-org.com/basics.html#learners
mlr3learners for a selection of recommended learners.
mlr3cluster for unsupervised clustering learners.
mlr3pipelines to combine learners with pre- and postprocessing steps.
mlr3tuning for tuning of hyperparameters, mlr3tuningspaces for established default tuning spaces.
Super classes
mlr3::Learner
-> mlr3proba::LearnerSurv
-> LearnerSurvNelson
Examples
learner = mlr3::lrn("surv.nelson")
print(learner)
#> <LearnerSurvNelson:surv.nelson>: Nelson-Aalen Estimator
#> * Model: -
#> * Parameters: list()
#> * Packages: mlr3, mlr3proba, mlr3extralearners, survival, pracma
#> * Predict Types: [crank], distr
#> * Feature Types: logical, integer, numeric, character, factor, ordered
#> * Properties: missings
# available parameters:
learner$param_set$ids()
#> character(0)