generateTrtData: Randomly assgin treatment and generate tratment data object

In SkadiEye/ITRlearn: Individualized Treatment Rule Learning

Description

From TrtDataIdeal object, randomly assign treatment labels to all samples and generate a TrtDataObj object.

Usage

generateTrtData(object, p.case = 0.5, inc.cutoff = 0, epsilon = 1, ...)

## S4 method for signature 'TrtDataIdeal'
generateTrtData(object, p.case = 0.5,
  inc.cutoff = 0, epsilon = 1, ...)

Arguments

object	A TrtDataIdeal object.
p.case	A number between 0 and 1, indicating the probability to assign the first treatment.
inc.cutoff	A positive number, indicating the cutoff of inclusion.
epsilon	A random variable with mean zero and variance epsilon^2 will be added to the treatment response.
...	Other possible parameters passed to this function.

Value

An TrtDataObj object.

Methods (by generic)

generateTrtData: Method to randomly assgin treatment and generate tratment data object

See Also

TrtDataObj-class TrtDataIdeal-class

SkadiEye/ITRlearn documentation built on May 24, 2019, 1:31 a.m.