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DynTxRegime (version 3.01)

RWLOptim-class: Class

Description

Optimization routines for Residual Wweighted Learning method.

Arguments

Objects from the Class

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

Slots

beta:
An object of class "numeric." The estimated derivatives of concave object function
residuals:
An object of class "numeric." The residuals of outcome regression.

Extends

Class "OptimKernel-class" directly. Class "OptimBasic-class" by "OptimKernel-class", distance 2.

Methods

optimObj
signature(object = "RWLOptim"): Retrieve parameter estimates.
print
signature(x = "RWLOptim"): Print key results of optimization.
residuals
signature(object = "RWLOptim"): Retrieve residuals of outcome regression
show
signature(object = "RWLOptim"): Show key results of optimization.
summary
signature(object = "RWLOptim"): Return summary information about optimization.

Examples

Run this code
showClass("RWLOptim")

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