DynTxRegime (version 3.01)

RWL-class: Class

Description

Implementation of Residual Weighted Learning

Objects from the Class

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

Slots

regime:

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

crossValidation:

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

optim:

An object of class "RWLOptim." The optimization results.

txInfo:

An object of class "TxInfo." The treatment information.

responseType:

An object of class "character." The type of response.

Extends

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

Methods

DTRstep

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

cvInfo

signature(object = "RWL"): Retrieve cross-validation results.

optTx

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

optTx

signature(x = "RWL", newdata = "missing"): Retrieve estimated optimal treatment for newdata

optimObj

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

print

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

regimeCoef

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

residuals

signature(object = "RWL"): Retrieve the residuals of the outcome regression.

show

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

summary

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

Examples

showClass("RWL")