newQLearn function

Perform a Step of the Q-Learning Algorithm

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

.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

Returns

an object of class QLearn.