LearningObject-methods: Methods Available for Objects of Class 'LearningObject'

In DynTxRegime: Methods for Estimating Optimal Dynamic Treatment Regimes

Methods Available for Objects of Class LearningObject

Description

Methods Available for Objects of Class LearningObject

Create LearningObject

Usage

## S4 method for signature 'LearningObject'
.subsetObject(methodObject, subset)

## S4 method for signature 'numeric,LearningObject,Kernel'
.objFn(par, methodObject, kernel, lambda, ...)

## S4 method for signature 'numeric,LearningObject,Kernel'
.dobjFn(par, methodObject, kernel, lambda, ...)

## S4 method for signature 'LearningObject'
.valueFunc(methodObject, optTx, ...)

.createLearningObject(
  kernel,
  surrogate,
  mu,
  txVec,
  response,
  prWgt,
  guess = NULL,
  ...
)

Arguments

kernel	Kernel object
surrogate	Surrogate object indicating surrogate loss-function
mu	Matrix of predicted outcome on binary tx coding
txVec	Tx vector coded as -1/1
response	vector of response
prWgt	propensity wgt for tx received
guess	Vector of estimated regime parameters

Value

A LearningObject object

DynTxRegime documentation built on June 8, 2025, 10:57 a.m.