mlr_task_generators_simsurv | R Documentation |
A mlr3::TaskGenerator calling simsurv::simsurv()
from package simsurv.
This generator currently only exposes a small subset of the flexibility of simsurv, and just creates a small data set with the following numerical covariates:
treatment
: Bernoulli distributed with log hazard ratio -0.5
.
height
: Normally distributed with log hazard ratio 1
.
weight
: normally distributed with log hazard ratio 0
.
See simsurv::simsurv()
for an explanation of the hyperparameters.
This TaskGenerator can be instantiated via the dictionary mlr_task_generators or with the associated sugar function tgen()
:
mlr_task_generators$get("simsurv") tgen("simsurv")
mlr3::TaskGenerator
-> TaskGeneratorSimsurv
new()
Creates a new instance of this R6 class.
TaskGeneratorSimsurv$new()
clone()
The objects of this class are cloneable with this method.
TaskGeneratorSimsurv$clone(deep = FALSE)
deep
Whether to make a deep clone.
Dictionary of TaskGenerators: mlr3::mlr_task_generators
if (requireNamespace("simsurv", quietly = TRUE)) { generator = mlr3::mlr_task_generators$get("simsurv") task = generator$generate(20) task$head() }
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