"OptimalSeqAIPWE_MDP"Implementation of multiple-decision-point coarsened data perspective with AIPWE.
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.
genetic:An object of class "list."
Results returned by genetic algorithm.
regime:An object of class "Regime_DecisionPointList."
The regime class definition.
Classes "OptimalSeq-class" and "PropensityOnly-class", directly.
Class "DynTxRegime-class" by class "OptimalSeq-class", distance 2.
signature(object = "OptimalSeqAIPWE_MDP"):
Retrieve description of method used to create object.
signature(object = "OptimalSeqAIPWE_MDP"):
Retrieve the value object returned by rgenoud.
signature(x = "OptimalSeqAIPWE_MDP", newdata = "data.frame"):
Estimate optimal treatment for newdata.
signature(x = "OptimalSeq_MDP", newdata = "missing"):
Retrieve estimated optimal treatment for training data.
signature(x = "OptimalSeqAIPWE_MDP"):
Print key results of method.
signature(x = "OptimalSeqAIPWE_MDP"):
Retrieve regime parameter estimates.
signature(object = "OptimalSeqAIPWE_MDP"):
Show key results of method.
signature(object = "OptimalSeqAIPWE_MDP"):
Retrieve key summary information of method.