Learn R Programming

ROptEst (version 1.3.4)

Optimally Robust Estimation

Description

R infrastructure for optimally robust estimation in general smoothly parameterized models using S4 classes and methods as described Kohl, M., Ruckdeschel, P., and Rieder, H. (2010), , and in Rieder, H., Kohl, M., and Ruckdeschel, P. (2008), .

Copy Link

Version

Install

install.packages('ROptEst')

Monthly Downloads

558

Version

1.3.4

License

LGPL-3

Maintainer

Last Published

September 2nd, 2024

Functions in ROptEst (1.3.4)

Asymptotic mean power 4 error

Asymptotic mean absolute error

asAnscombe-class

Asymptotic Anscombe risk

ORobEstimate-class

ORobEstimate-class.

checkIC-methods

Methods for Checking and Making ICs

Generating function for asL4-class

Generating function for asMSE-class

Functions for Computation and Plot of Cniper Contamination and Cniper Points.

ROptEst-package

Optimally robust estimation

CniperPointPlot

Wrapper function for cniperPointPlot - Computation and Plot of Cniper Contamination and Cniper Points

Generic Function for the Computation of Inefficiency Differences

comparePlot-methods

Compare - Plots

RMXEOMSEMBREOBRE

Optimally robust estimation: RMXE, OMSE, MBRE, and OBRE

Generic Function for the Computation of the Optimal Centering Constant/Lower Clipping Bound

Generic Function for Computation of Asymptotic Risks

get.asGRisk.fct-methods

Methods for Function get.asGRisk.fct in Package `ROptEst'

Generic Function for the Computation of the Optimal Radius for Given Clipping Bound

Generic function for the computation of the asymptotic bias for an IC

Generic Function for the Computation of Optimally Robust ICs

inputGenerators

Input generating functions for function 'robest'

Generic Function for the Computation of the Optimal Clipping Bound

Generating function for asAnscombe-class

Generic Function for the Computation of Optimally Robust ICs

internal_interpolate_helpers

Internal helper functions for generating interpolation grids for speed up in package ROptEst

Generic Function for the Computation of the Standardizing Matrix

Generic Function for the Computation of the Optimal Clipping Bound

Generic Function for the Computation of the Optimal Clipping Bound

getL1normL2deriv

Calculation of L1 norm of L2derivative

getL2normL2deriv

Calculation of L2 norm of L2derivative

getRiskFctBV-methods

Methods for Function getRiskFctBV in Package `ROptEst'

Generic function for the computation of a risk for an IC

leastFavorableRadius

Generic Function for the Computation of Least Favorable Radii

lowerCaseRadius

Computation of the lower case radius

Generic Function for the Computation of Bias-Optimally Robust ICs

Computation of the Optimal Radius for Given Clipping Bound

Generic Function for the Computation of the asymptotic Variance of a Hampel type IC

getStartIC-methods

Methods for Function getStartIC in Package `ROptEst'

Functions to determine Lagrange multipliers

radiusMinimaxIC

Generic function for the computation of the radius minimax IC

Generic function for the computation of the minimal risk

Methods for Function plot in Package `ROptEst'

getMaxIneff -- computation of the maximal inefficiency of an IC

Optimally robust estimation

Generic Function for the Computation of Functions for Slot modifyIC

getReq -- computation of the radius interval where IC1 is better than IC2.

Optimally robust estimation

Generic function for the computation of optimally robust ICs

internals_for_MBRE_computation

Internal / Helper function of package ROptEst for MBRE calculation

internals_for_ROptEst_robest

Internal / Helper functions of package ROptEst for function robest

internals_for_ROptEst_Cniperplots

Internal / Helper functions of package ROptEst for cniper plot functions

internals_for_ROptEst

Internal / Helper functions of package ROptEst

updateNorm-methods

Methods for Function updateNorm in Package `ROptEst'