IC-class(ROptEstOld)
IC-class()所属R语言包：ROptEstOld
Influence curve
影响曲线
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Class of (partial) influence curves.
一类（部分）的影响曲线。
类对象----------Objects from the Class----------
Objects can be created by calls of the form new("IC", ...). More frequently they are created via the generating function IC.
可以创建对象通过调用的形式new("IC", ...)。更经常的是，他们通过创建生成函数IC。
插槽----------Slots----------
CallL2Fam:Object of class "call": creates an object of the underlying L2-differentiable parametric family.
CallL2Fam类的对象"call"：创建一个对象的基础L2-微参数家庭。
name:Object of class "character".
name：对象的类"character"。
Curve:Object of class "EuclRandVarList".
Curve：对象的类"EuclRandVarList"。
Risks:Object of class "list": list of risks; cf. RiskType-class.
Risks：类"list"：风险列表;比照的对象。 RiskType-class。
Infos:Object of class "matrix" with two columns named method and message: additional informations.
Infos：对象类"matrix"有两列名为method和message：额外的信息。
扩展----------Extends----------
Class "InfluenceCurve", directly.
类"InfluenceCurve"，直接。
方法----------Methods----------
CallL2Famsignature(object = "IC"): accessor function for slot CallL2Fam.
CallL2Fam signature(object = "IC")插槽CallL2Fam访问函数。
CallL2Fam<-signature(object = "IC"): replacement function for slot CallL2Fam.
CallL2Fam < - signature(object = "IC")：更换功能为槽CallL2Fam。
checkICsignature(IC = "IC", L2Fam = "missing"): check centering and Fisher consistency of IC assuming the L2-differentiable parametric family which can be generated via the slot CallL2Fam of IC.
checkIC signature(IC = "IC", L2Fam = "missing")：检查定心和费舍尔的一致性IC假设L2-微参数系列可以通过插槽CallL2FamIC产生的。
checkICsignature(IC = "IC", L2Fam = "L2ParamFamily"): check centering and Fisher consistency of IC assuming the L2-differentiable parametric family L2Fam.
checkIC signature(IC = "IC", L2Fam = "L2ParamFamily")：检查定心和费舍尔的一致性IC假设L2-微参数家庭L2Fam。
evalICsignature(IC = "IC", x = "numeric"): evaluate IC at x.
evalIC signature(IC = "IC", x = "numeric")：评估ICx。
evalICsignature(IC = "IC", x = "matrix"): evaluate IC at the rows of x.
evalICsignature(IC = "IC", x = "matrix")：评估IC在的行x。
infoPlotsignature(object = "IC"): Plot absolute and relative information of IC.
infoPlot signature(object = "IC")：图绝对和相对的IC信息。
plotsignature(x = "IC")
图signature(x = "IC")
showsignature(object = "IC")
显示signature(object = "IC")
（作者）----------Author(s)----------
Matthias Kohl <a href="mailto:Matthias.Kohl@stamats.de">Matthias.Kohl@stamats.de</a>
参考文献----------References----------
Hampel et al. (1986) Robust Statistics. The Approach Based on Influence Functions. New York: Wiley.
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----------
InfluenceCurve-class, IC
InfluenceCurve-class，IC
实例----------Examples----------
IC1 <- new("IC")
plot(IC1)
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注：
注1：为了方便大家学习，本文档为生物统计家园网机器人LoveR翻译而成，仅供个人R语言学习参考使用，生物统计家园保留版权。
注2：由于是机器人自动翻译，难免有不准确之处，使用时仔细对照中、英文内容进行反复理解，可以帮助R语言的学习。
注3：如遇到不准确之处，请在本贴的后面进行回帖，我们会逐渐进行修订。
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发表于 2012-9-27 23:08:12
