"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.