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LearningObject-methods

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

Methods for Estimating Optimal Dynamic Treatment Regimes

v4.10
GPL-2
Authors
S. T. Holloway, E. B. Laber, K. A. Linn, B. Zhang, M. Davidian, and A. A. Tsiatis
Initial release
2022-06-05

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