OptimalSeqAIPWE_MDP-class: Class

Description

Implementation of multiple-decision-point coarsened data perspective with AIPWE.

Arguments

Objects from the Class

Objects can be created by calls of the form new("OptimalSeqAIPWE_MDP", ...). These objects are for convenience in package development and should not be created by users.

Slots

genetic:: An object of class "list." Results returned by genetic algorithm.
regime:: An object of class "Regime_DecisionPointList." The regime class definition.

Extends

Classes "OptimalSeq-class" and "PropensityOnly-class", directly.

Class "DynTxRegime-class" by class "OptimalSeq-class", distance 2.

Methods

DTRstep: signature(object = "OptimalSeqAIPWE_MDP"): Retrieve description of method used to create object.
genetic: signature(object = "OptimalSeqAIPWE_MDP"): Retrieve the value object returned by rgenoud.
optTx: signature(x = "OptimalSeqAIPWE_MDP", newdata = "data.frame"): Estimate optimal treatment for newdata.
optTx: signature(x = "OptimalSeq_MDP", newdata = "missing"): Retrieve estimated optimal treatment for training data.
print: signature(x = "OptimalSeqAIPWE_MDP"): Print key results of method.
regimeCoef: signature(x = "OptimalSeqAIPWE_MDP"): Retrieve regime parameter estimates.
show: signature(object = "OptimalSeqAIPWE_MDP"): Show key results of method.
summary: signature(object = "OptimalSeqAIPWE_MDP"): Retrieve key summary information of method.