Method performs all necessary regression and predictions steps for a single step of the Q-learning algorithm.
.newQLearn(response, ...)# S4 method for vector
.newQLearn(moMain, moCont, fSet, response, data, txName, iter, suppress)
# S4 method for QLearn
.newQLearn(moMain, moCont, fSet, response, data, txName, iter, suppress)
an object of class QLearn.
a vector or the value object returned by a prior call to qlearn()
modeling object specifying the main effects component of the outcome model
modeling object specifying the contrasts component of the outcome model
function defining the feasible tx subsets
data.frame of covariates and tx received
character name of tx variable in data
the maximum number of iterations in the iterative algorithm
logical indicating user's screen printing preference