DynTxRegime (version 3.2)

RWLOptim-class: Class "RWLOptim"

Description

Optimization routines for Residual Wweighted Learning method.

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

# NOT RUN {
showClass("RWLOptim")
# }