ROptEst: updateNorm-methods – R documentation

Pricing

Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!

Get Started for Free

Documentation

ROptEst

updateNorm-methods

Methods for Function updateNorm in Package ‘ROptEst’

Description

updateNorm-methods to update norm in IC-Algo

Usage

updateNorm(normtype, ...)
## S4 method for signature 'SelfNorm'
updateNorm(normtype, L2, neighbor, biastype, Distr, V.comp, 
                                cent, stand,  w)

Arguments

`normtype`	normtype of class `NormType`
`...`	further arguments to be passed to specific methods.
`L2`	L2derivative
`neighbor`	object of class `"Neighborhood"`.
`biastype`	object of class `"BiasType"`
`cent`	optimal centering constant.
`stand`	standardizing matrix.
`Distr`	standardizing matrix.
`V.comp`	matrix: indication which components of the standardizing matrix have to be computed.
`w`	object of class `RobWeight`; current weight

Details

updateNorm is used internally in the opt-IC-algorithm to be able to work with a norm that depends on the current covariance (SelfNorm)

Value

updateNorm

an updated object of class NormType.

Methods

updateNorm: signature(normtype = "SelfNorm"): udates the norm in the self-standardized case; just used internally in the opt-IC-Algorithm.

Author(s)

Peter Ruckdeschel peter.ruckdeschel@uni-oldenburg.de