# getRiskFctBV-methods: Methods for Function getRiskFctBV in Package 'RobAStBase' In RobAStBase: Robust Asymptotic Statistics

## Description

getRiskFctBV for a given object of S4 class `asGRisk` returns a function in bias and variance to compute the asymptotic risk.

## Methods

getRiskFctBV

`signature(risk = "asGRisk", biastype = "ANY")`: returns an error that the respective method is not yet implemented.

getRiskFctBV

`signature(risk = "asMSE", biastype = "ANY")`: returns a function with arguments `bias` and `variance` to compute the asymptotic MSE for a given ALE at a situation where it has bias `bias` (including the radius!) and variance `variance`.

getRiskFctBV

`signature(risk = "asSemivar", biastype = "onesidedBias")`: returns a function with arguments `bias` and `variance` to compute the asymptotic semivariance error, i.e. E[max(Sn-theta,0)^2] resp. E[max(theta-Sn,0)^2], for a given ALE Sn at a situation where it has one-sided bias `bias` (including the radius!) and variance `variance`.

getRiskFctBV

`signature(risk = "asSemivar", biastype = "asymmetricBias")`: returns a function with arguments `bias` and `variance` to compute the asymptotic semivariance error, i.e. nu1*max(Sn-theta,0)^2+nu2*max(theta-Sn,0)^2] for a given ALE Sn at a situation where it has one-sided bias `bias` (including the radius!) and variance `variance`.

## Examples

 ```1 2``` ```myrisk <- asMSE() getRiskFctBV(myrisk) ```

RobAStBase documentation built on May 30, 2017, 2:03 a.m.