ALEstimate-class(RobAStBase)
ALEstimate-class()所属R语言包：RobAStBase
ALEstimate-class.
ALEstimate类。
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Class of asymptotically linear estimates.
类渐近线性估计。
类对象----------Objects from the Class----------
Objects can be created by calls of the form new("ALEstimate", ...).
可以创建对象通过调用的形式new("ALEstimate", ...)。
插槽----------Slots----------
nameObject of class "character": name of the estimator.
name对象的类"character"：名称的估计。
estimateObject of class "ANY": estimate.
estimate对象的类"ANY"：估计。
estimate.callObject of class "call": call by which estimate was produced.
estimate.call的对象类"call"：呼叫，估计是。
samplesize object of class "numeric" — the samplesize (only complete cases are counted) at which the estimate was evaluated.
samplesize类的对象"numeric"“ - 的采样大小（唯一完整的情况下被计算）的估计进行了评估。
completecases object of class "logical" — complete cases at which the estimate was evaluated.
completecases类的对象"logical" - 完备的情况下，估计评估。
asvarobject of class "OptionalNumericOrMatrix" which may contain the asymptotic (co)variance of the estimator.
asvar类的对象"OptionalNumericOrMatrix"可能包含（CO）的渐近方差的估计。
asbiasOptional object of class "numeric": asymptotic bias.
asbias可选的对象的类"numeric"：渐近偏差。
pICOptional object of class InfluenceCurve: influence curve.
pIC可选的对象的类InfluenceCurve的影响曲线。
nuis.idx object of class "OptionalNumeric": indices of estimate belonging to the nuisance part.
nuis.idx对象的类"OptionalNumeric"：指数estimate的滋扰部分。
fixed object of class "OptionalNumeric": the fixed and known part of the parameter
fixed对象的类"OptionalNumeric"：固定的和已知的参数
Infos object of class "matrix" with two columns named method and message: additional informations.
Infos对象的类"matrix"的两列名为method和message：额外的信息。
trafo object of class "list": a list with components fct and mat (see below).
trafo类的对象"list"：组件的列表fct和mat（见下文）。
untransformed.estimateObject of class "ANY": untransformed estimate.
untransformed.estimate对象的类"ANY"：未转换的估计。
untransformed.asvar object of class "OptionalNumericOrMatrix" which may contain the asymptotic (co)variance of the untransformed estimator.
untransformed.asvar类的对象"OptionalNumericOrMatrix"其中可能包含未转换的估计方差的渐近（CO）。
扩展----------Extends----------
Class "Estimate", directly.
类"Estimate"，直接。
方法----------Methods----------
pICsignature(object = "ALEstimate"): accessor function for slot pIC.
PIC signature(object = "ALEstimate")插槽pIC访问函数。
showsignature(object = "ALEstimate")
显示signature(object = "ALEstimate")
confintsignature(object = "ALEstimate", method = "missing"): compute asymptotic (LAN-based) confidence interval neglecting any bias.
confintsignature(object = "ALEstimate", method = "missing")：，计算渐近（基于LAN）的置信区间忽视任何偏见。
confintsignature(object = "ALEstimate", method = "symmetricBias"): compute asymptotic (LAN-based) confidence interval incorporating bias symmetrically.
confint signature(object = "ALEstimate", method = "symmetricBias")：计算渐近（基于LAN）的置信区间将偏置对称。
confintsignature(object = "ALEstimate", method = "onesidedBias"): compute asymptotic (LAN-based) confidence interval incorporating bias one-sided; i.e., positive or negative, respectively.
confintsignature(object = "ALEstimate", method = "onesidedBias")：片面的，也就是说，正的或负的，分别计算渐近（基于LAN）的置信区间将偏置。
confintsignature(object = "ALEstimate", method = "asymmetricBias"): compute asymptotic (LAN-based) confidence interval incorporating bias asymmetrically.
confint signature(object = "ALEstimate", method = "asymmetricBias")：计算渐近（基于LAN）的置信区间将偏置不对称。
（作者）----------Author(s)----------
Matthias Kohl <a href="mailto:Matthias.Kohl@stamats.de">Matthias.Kohl@stamats.de</a>
参见----------See Also----------
Estimate-class
Estimate-class
实例----------Examples----------
## prototype[＃原型]
new("ALEstimate")
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。
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发表于 2012-9-27 19:50:03
