Survival Task Generator for Package 'simsurv'

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 dataset with the following numerical covariates:

• treatment: Bernoulli distributed with hazard ratio 0.5.

• height: Normally distributed with hazard ratio 1.

• weight: normally distributed with hazard ratio 1.

See simsurv::simsurv() for an explanation of the hyperparameters. Initial values for hyperparameters are lambdas = 0.1, gammas = 1.5 and maxt = 5. The last one, by default generates samples which are administratively censored at \(\tau = 5\), so increase this value if you want to change this.

Dictionary

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")

Parameters

Id	Type	Default	Levels	Range
dist	character	weibull	weibull, exponential, gompertz	-
lambdas	numeric	-		\([0, \infty)\)
gammas	numeric	-		\([0, \infty)\)
maxt	numeric	-		\([0, \infty)\)

See also

• Dictionary of TaskGenerators: mlr3::mlr_task_generators

• as.data.table(mlr_task_generators) for a table of available TaskGenerators in the running session

Other TaskGenerator: mlr_task_generators_coxed, mlr_task_generators_simdens

Super class

mlr3::TaskGenerator -> TaskGeneratorSimsurv

Methods

Public methods

• TaskGeneratorSimsurv$new()

• TaskGeneratorSimsurv$help()

• TaskGeneratorSimsurv$clone()

Inherited methods

• mlr3::TaskGenerator$format()
• mlr3::TaskGenerator$generate()
• mlr3::TaskGenerator$print()

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Method new()

Creates a new instance of this R6 class.

Usage

TaskGeneratorSimsurv$new()

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Method help()

Opens the corresponding help page referenced by field $man.

Usage

TaskGeneratorSimsurv$help()

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Method clone()

The objects of this class are cloneable with this method.

Usage

TaskGeneratorSimsurv$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

if (requireNamespace("simsurv", quietly = TRUE)) {
  # generate 20 samples with Weibull survival distribution
  gen = tgen("simsurv")
  task = gen$generate(20)
  head(task)

  # generate 100 samples with exponential survival distribution and tau = 40
  gen = tgen("simsurv", dist = "exponential", gammas = NULL, maxt = 40)
  task = gen$generate(100)
  head(task)
}
#>    eventtime status   height treatment   weight
#>        <num>  <int>    <num>     <int>    <num>
#> 1: 17.171312      1 167.6429         1 77.23948
#> 2:  4.433043      1 188.4940         0 82.81777
#> 3: 15.311016      1 180.4851         1 98.84231
#> 4: 17.578863      1 169.5473         0 61.78893
#> 5: 40.000000      0 159.8246         1 65.27973
#> 6:  6.553888      1 186.5408         1 88.89694