R语言 ROptRegTS包 getInfCentRegTS()函数中文帮助文档(中英文对照)

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getInfCentRegTS(ROptRegTS)
getInfCentRegTS()所属R语言包：ROptRegTS

                                        Generic Function for the Computation of the Optimal Centering Constant/Function resp.
                                         通用函数计算的最优中心恒/功能;。

                                         译者：生物统计家园网 机器人LoveR

描述----------Description----------

Generic function for the computation of the optimal centering constant/function (contamination neighborhoods) respectively, of the optimal lower clipping bound/function (total variation neighborhoods). This function is rarely called directly. It is used to  compute optimally robust ICs.
定心的最佳常数/功能（污染街道）分别计算，通用功能的最佳剪裁绑定/功能（总变化街区）。很少直接调用此函数。它被用来计算最佳鲁棒的IC。


用法----------Usage----------


getInfCentRegTS(ErrorL2deriv, Regressor, neighbor, ...)

## S4 method for signature 'UnivariateDistribution,UnivariateDistribution,ContNeighborhood'
getInfCentRegTS(ErrorL2deriv,
                Regressor, neighbor, clip, cent, stand, z.comp)

## S4 method for signature 'UnivariateDistribution,UnivariateDistribution,TotalVarNeighborhood'
getInfCentRegTS(ErrorL2deriv,
                Regressor, neighbor, clip, cent, z.comp)

## S4 method for signature 'UnivariateDistribution,numeric,CondTotalVarNeighborhood'
getInfCentRegTS(ErrorL2deriv,
                Regressor, neighbor, clip, cent, z.comp)

## S4 method for signature 'UnivariateDistribution,UnivariateDistribution,Av1CondContNeighborhood'
getInfCentRegTS(ErrorL2deriv,
                Regressor, neighbor, clip, cent, stand, z.comp, x.vec)

## S4 method for signature 'UnivariateDistribution,UnivariateDistribution,Av1CondTotalVarNeighborhood'
getInfCentRegTS(ErrorL2deriv,
                Regressor, neighbor, clip, cent, stand, z.comp, x.vec, tol.z)

## S4 method for signature 'UnivariateDistribution,MultivariateDistribution,ContNeighborhood'
getInfCentRegTS(ErrorL2deriv,
                Regressor, neighbor, clip, cent, stand, z.comp)

## S4 method for signature 'UnivariateDistribution,MultivariateDistribution,Av1CondContNeighborhood'
getInfCentRegTS(ErrorL2deriv,
                Regressor, neighbor, clip, cent, stand, z.comp, x.vec)

## S4 method for signature 'UnivariateDistribution,Distribution,Av2CondContNeighborhood'
getInfCentRegTS(ErrorL2deriv,
                Regressor, neighbor, clip, cent, stand, z.comp, tol.z)

## S4 method for signature 'RealRandVariable,Distribution,ContNeighborhood'
getInfCentRegTS(ErrorL2deriv,
                Regressor, neighbor, ErrorDistr, stand, cent, clip, z.comp)

## S4 method for signature 'RealRandVariable,Distribution,Av1CondContNeighborhood'
getInfCentRegTS(ErrorL2deriv,
                Regressor, neighbor, ErrorDistr, stand, cent, clip, z.comp, x.vec)



参数----------Arguments----------

参数：ErrorL2deriv
L2-derivative of ErrorDistr.
L2衍生ErrorDistr。


参数：Regressor
regressor.
回归量。


参数：neighbor
object of class "Neighborhood".
对象类"Neighborhood"。


参数：...
additional parameters.
附加参数。


参数：clip
optimal clipping bound.
最佳剪裁的约束。


参数：cent
optimal centering constant/function.
最佳定心常数/功能。


参数：stand
standardizing matrix.
规范矩阵。


参数：z.comp
which components of the centering constant/function  have to be computed.
定心的常数/功能的组成部分有以被计算。


参数：x.vec
(approximated) support of Regressor.
（近似）的支持Regressor。


参数：tol.z
the desired accuracy (convergence tolerance).
所需的精度（收敛宽容）。


参数：ErrorDistr
error distribution.
误差分布。


值----------Value----------

The optimal centering constant/function is computed.
中心的最佳常数/函数被计算。


方法----------Methods----------

  


ErrorL2deriv = "UnivariateDistribution", Regressor = "UnivariateDistribution", neighbor = "ContNeighborhood"  computation of optimal centering constant.
ErrorL2deriv =“UnivariateDistribution”，次，REGRESSOR =的“UnivariateDistribution”，邻居=的“ContNeighborhood”最佳围绕常数的计算。




ErrorL2deriv = "UnivariateDistribution", Regressor = "UnivariateDistribution", neighbor = "TotalVarNeighborhood"  computation of lower clipping bound.
ErrorL2deriv =“UnivariateDistribution”，次，REGRESSOR =“UnivariateDistribution”，邻居=的“TotalVarNeighborhood”计算较低的剪裁约束。




ErrorL2deriv = "UnivariateDistribution", Regressor = "numeric", neighbor = "CondTotalVarNeighborhood"  computation of lower clipping bound.
ErrorL2deriv =“UnivariateDistribution”，REGRESSOR =“数字”，邻居=“CondTotalVarNeighborhood”计算的较低的剪裁绑定。




ErrorL2deriv = "UnivariateDistribution", Regressor = "UnivariateDistribution", neighbor = "Av1CondContNeighborhood"  computation of optimal centering function.
ErrorL2deriv =“UnivariateDistribution”，REGRESSOR =“UnivariateDistribution”，邻居=“Av1CondContNeighborhood”计算的最佳定心功能。




ErrorL2deriv = "UnivariateDistribution", Regressor = "UnivariateDistribution", neighbor = "Av1CondTotalVarNeighborhood"  computation of optimal lower clipping function.
ErrorL2deriv =“UnivariateDistribution”，REGRESSOR =“UnivariateDistribution”，邻居=“Av1CondTotalVarNeighborhood”计算的最佳较低的裁剪功能。




ErrorL2deriv = "UnivariateDistribution", Regressor = "MultivariateDistribution", neighbor = "ContNeighborhood"  computation of optimal centering constant.
ErrorL2deriv =“UnivariateDistribution”，次，REGRESSOR =的“MultivariateDistribution”，邻居=的“ContNeighborhood”最佳围绕常数的计算。




ErrorL2deriv = "UnivariateDistribution", Regressor = "MultivariateDistribution", neighbor = "Av1CondContNeighborhood"  computation of optimal centering function.
ErrorL2deriv =“UnivariateDistribution”，REGRESSOR =“MultivariateDistribution”，邻居=“Av1CondContNeighborhood”计算的最佳定心功能。




ErrorL2deriv = "UnivariateDistribution", Regressor = "MultivariateDistribution", neighbor = "Av1CondTotalVarNeighborhood"  computation of optimal lower clipping function.
ErrorL2deriv =“UnivariateDistribution”，REGRESSOR =“MultivariateDistribution”，邻居=“Av1CondTotalVarNeighborhood”计算的最佳较低的裁剪功能。




ErrorL2deriv = "UnivariateDistribution", Regressor = "Distribution", neighbor = "Av2CondContNeighborhood"  computation of optimal centering constant.
ErrorL2deriv =“UnivariateDistribution”的，的回归量=“分配”，邻居=“Av2CondContNeighborhood”最佳围绕常数的计算。




ErrorL2deriv = "RealRandVariable", Regressor = "Distribution", neighbor = "ContNeighborhood"  computation of optimal centering constant.
ErrorL2deriv =“RealRandVariable”，REGRESSOR =“分配”，邻居=的“ContNeighborhood”最佳围绕常数的计算。




ErrorL2deriv = "RealRandVariable", Regressor = "Distribution", neighbor = "Av1CondContNeighborhood"  computation of optimal centering function.   
ErrorL2deriv =“RealRandVariable”，REGRESSOR =“分配”，邻居=的“Av1CondContNeighborhood”计算最佳的调心功能。


（作者）----------Author(s)----------


Matthias Kohl <a href="mailto:Matthias.Kohl@stamats.de">Matthias.Kohl@stamats.de</a>



参考文献----------References----------

Rieder, H. (1980) Estimates derived from robust tests. Ann. Stats. 8: 106&ndash;115.
Rieder, H. (1994) Robust Asymptotic Statistics. New York: Springer.
Kohl, M. (2005) Numerical Contributions to the Asymptotic Theory of Robustness.  Bayreuth: Dissertation.

参见----------See Also----------

ContIC-class, Av1CondContIC-class,  Av2CondContIC-class, Av1CondTotalVarIC-class,
ContIC-class，Av1CondContIC-class，Av2CondContIC-class，Av1CondTotalVarIC-class，

转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。


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