.newOptimObj {DynTxRegime}R Documentation

Create an OptimObj Object

Description

Call newOptim and stores result under common name

Usage

.newOptimObj(methodObject, kernel, ...)

## S4 method for signature 'ANY'
.newOptimObj(methodObject, lambda, suppress, ...)

## S4 method for signature '.rwl'
.newOptimObj(methodObject, lambda, suppress, ...)

Arguments

methodObject

object containing parameters needed by a weighted learning method

...

additional inputs passed to optimization routine.

lambda

tuning parameters

suppress

integer indicating screen print preferences


[Package DynTxRegime version 4.15 Index]