updateNorm-methods {ROptEst}R Documentation

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@itwm.fraunhofer.de

See Also

NormType-class


[Package ROptEst version 0.6.3 Index]