DynTxRegime (version 3.01)

OWL-class: Class

Description

Implementation of Outcome Weighted Learning.

Objects from the Class

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

Slots

shift:

An object of class "numeric." The amount reward shifted to make all positive.

modelFormula:

An object of class "formula." The formula description of kernel covariates.

crossValidation:

An object of class "CVInfo." The results of cross validation

optim:

An object of class "OWLOptim." The OWLOptim object

txInfo:

An object of class "TxInfo." The treatment information

decisionFunc:

An object of class "numeric." Estimated value of the decision function for training data.

Extends

Classes "PropensityOnly-class" and "DynTxRegime-class" directly.

Methods

cvInfo

signature(object = "OWL"): Retrieve cross-validation matrix.

DTRstep

signature(object = "OWL"): Retrieve description of method used to create object.

optimObj

signature(object = "OWL"): Retrieve optimization results.

optTx

signature(x = "OWL", newdata = "data.frame"): Estimate optimal treatment for newdata.

print

signature(x = "OWL"): Print key results of method.

regimeCoef

signature(object = "OWL"): Retrieve regime parameter estimates.

show

signature(object = "OWL"): Show key results of method.

summary

signature(object = "OWL"): Retrieve key summary information of method.

Examples

showClass("OWL")