newQLearn: Perform a Step of the Q-Learning Algorithm

In DynTxRegime: Methods for Estimating Optimal Dynamic Treatment Regimes

Perform a Step of the Q-Learning Algorithm

Description

Method performs all necessary regression and predictions steps for a single step of the Q-learning algorithm.

Usage

.newQLearn(response, ...)

## S4 method for signature 'vector'
.newQLearn(moMain, moCont, fSet, response, data, txName, iter, suppress)

## S4 method for signature 'QLearn'
.newQLearn(moMain, moCont, fSet, response, data, txName, iter, suppress)

Arguments

response	a vector or the value object returned by a prior call to qlearn()
moMain	modeling object specifying the main effects component of the outcome model
moCont	modeling object specifying the contrasts component of the outcome model
fSet	function defining the feasible tx subsets
data	data.frame of covariates and tx received
txName	character name of tx variable in data
iter	the maximum number of iterations in the iterative algorithm
suppress	logical indicating user's screen printing preference

Value

an object of class QLearn.

DynTxRegime documentation built on Nov. 25, 2023, 1:09 a.m.