DynTxRegime (version 3.01)

EARLOptim-class: Class

Description

Optimization for Efficient Augmentation and Relaxation Learning

Objects from the Class

Objects can be created by calls of the form new("EARLOptim", ...). These objects are for convenience in package development and should not be created by users.

Slots

weight:

Object of class "matrix." The weight vectors used in optimization.

surrogate:

Object of class "character." The surrogate of 0-1 loss function used.

Extends

Class "OptimBasic-class" directly.

Methods

optimObj

signature(object = "EARLOptim"): Retrieve optimization result.

.predictOptimalTx

signature(x = "EARLOptim", newdata = "matrix"): Predict optimal treatment for new data.

.predictOptimalTx

signature(x = "EARLOptim", newdata = "data.frame"): Predict optimal treatment for new data.

Examples

showClass("EARLOptim")