CondIC-class(ROptRegTS)
CondIC-class()所属R语言包:ROptRegTS
Conditionally centered partial influence curve
有条件的中心部分影响曲线
译者:生物统计家园网 机器人LoveR
描述----------Description----------
Class of conditionally centered partial influence curves.
有条件的中心部分影响曲线类。
类对象----------Objects from the Class----------
Objects can be created by calls of the form new("CondIC", ...). More frequently they are created via the generating function CondIC.
可以创建对象通过调用的形式new("CondIC", ...)。更经常的是,他们通过创建生成函数CondIC。
插槽----------Slots----------
CallL2Fam:Object of class "call": creates an object of class "L2RegTypeFamily".
CallL2Fam:类的对象"call":创建一个对象类"L2RegTypeFamily"。
name:Object of class "character": name
name:对象类"character":名称
Curve:Object of class "EuclRandVariable": curve.
Curve:类"EuclRandVariable":曲线的对象。
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 "IC", directly.<br> Class "InfluenceCurve", by class "IC".
类"IC",直接。<BR>的类"InfluenceCurve"类"IC"。
方法----------Methods----------
CallL2Fam<-signature(object = "IC"): replacement function for slot CallL2Fam.
CallL2Fam < - signature(object = "IC"):更换功能为槽CallL2Fam。
checkICsignature(IC = "CondIC", L2Fam = "missing"): check conditional centering and Fisher consistency of IC assuming the L2-differentiable regression-type family which can be created via the slot CallL2Fam of IC.
checkICsignature(IC = "CondIC", L2Fam = "missing"):检查条件的定心和费舍尔的一致性IC假设L2微回归家庭,可以通过创建插槽CallL2FamIC。
checkICsignature(IC = "CondIC", L2Fam = "L2RegTypeFamily"): check conditional centering and Fisher consistency of IC assuming the L2-differentiable regression-type family L2Fam.
checkICsignature(IC = "CondIC", L2Fam = "L2RegTypeFamily"):检查条件的定心和费舍尔的一致性IC假设L2微回归家庭L2Fam。
showsignature(object = "CondIC")
显示signature(object = "CondIC")
(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-class
InfluenceCurve-class,IC-class
实例----------Examples----------
new("CondIC")
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。
|