kStepEstimate-class(RobAStBase)
kStepEstimate-class()所属R语言包：RobAStBase
kStepEstimate-class.
kStepEstimate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("kStepEstimate", ...). More frequently they are created via the generating function kStepEstimator.
可以创建对象通过调用的形式new("kStepEstimate", ...)。更经常的是，他们通过创建生成函数kStepEstimator。
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" - 完备的情况下的估计进行了评估。
asvar object 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。
stepsObject of class "integer": number of steps.
steps对象的类"integer"：步数。
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.estimate:Object of class "ANY": untransformed estimate.
untransformed.estimate：对象类"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"OptionalNumericOrMatrix"其中可能包含未转换的估计方差的渐近（CO）的对象。
pICListOptional object of class "OptionalpICList": the list of (intermediate) (partial) influence curves used; only filled when called from kStepEstimator with argument withPICList==TRUE.
pICList可选的类的对象列表中"OptionalpICList"：（中级）（部分）的影响曲线;，不仅填补时调用kStepEstimator参数withPICList==TRUE。
ICListOptional object of class "OptionalpICList": the list of (intermediate) (total) influence curves used; only filled when called from kStepEstimator with argument withICList==TRUE.
ICList可选的类的对象列表中"OptionalpICList"：（中级）（总）的影响曲线;，不仅填补时调用kStepEstimator参数withICList==TRUE。
startThe argument start — of class "StartClass" used in call to kStepEstimator.
start：参数start - 类"StartClass"用于调用kStepEstimator。
startvalObject of class matrix: the starting value with which the k-step Estimator was initialized (in p-space / transformed).
startval类的对象matrix：k步估计的初始值进行初始化（在p空间/转换）。
ustartvalObject of class matrix: the starting value with which the k-step Estimator was initialized (in k-space / untransformed).
ustartval类的对象matrix：k步估计的初始值初始化（k空间/未转换的）。
kstepsObject of class "OptionalMatrix": the intermediate estimates (in p-space) for the parameter; only filled when called from kStepEstimator.
ksteps类的对象"OptionalMatrix"：中间估计（p空间）的参数，不仅填补时调用kStepEstimator。
ukstepsObject of class "OptionalMatrix": the intermediate estimates (in k-space) for the parameter; only filled when called from kStepEstimator.
uksteps类的对象"OptionalMatrix"：中间估计（k空间）的参数，不仅填补时调用kStepEstimator。
扩展----------Extends----------
Class "ALEstimate", directly.<br> Class "Estimate", by class "ALEstimate"
类"ALEstimate"，直接。<BR>的类"Estimate"类"ALEstimate"
方法----------Methods----------
stepssignature(object = "kStepEstimate"): accessor function for slot steps.
步骤signature(object = "kStepEstimate")：访问函数插槽steps。
kstepssignature(object = "kStepEstimate"): accessor function for slot ksteps; has additional argument diff, defaulting to FALSE; if the latter is TRUE, the starting value from slot startval is prepended as first column; otherwise we return the corresponding increments in each step.
K步signature(object = "kStepEstimate")：访问函数插槽ksteps;有额外的参数diff，默认为FALSE;如果是后者，TRUE，初始值从插槽中startval第一列的前缀，否则，我们的每一步返回相应的增量。
ukstepssignature(object = "kStepEstimate"): accessor function for slot uksteps; has additional argument diff, defaulting to FALSE; if the latter is TRUE, the starting value from slot ustartval is prepended as first column; otherwise we return the corresponding increments in each step.
uksteps signature(object = "kStepEstimate")：访问函数插槽uksteps;有额外的参数diff，默认为FALSE;如果是后者，TRUE，初始值从插槽中ustartval第一列的前缀，否则，我们的每一步返回相应的增量。
startsignature(object = "kStepEstimate"): accessor function for slot start.
启动signature(object = "kStepEstimate")：访问函数插槽start。
startvalsignature(object = "kStepEstimate"): accessor function for slot startval.
startval signature(object = "kStepEstimate")插槽startval访问函数。
ustartvalsignature(object = "kStepEstimate"): accessor function for slot startval.
ustartval signature(object = "kStepEstimate")插槽startval访问函数。
ICListsignature(object = "kStepEstimate"): accessor function for slot ICList.
ICList signature(object = "kStepEstimate")插槽ICList访问函数。
pICListsignature(object = "kStepEstimate"): accessor function for slot pICList.
pICList signature(object = "kStepEstimate")插槽pICList访问函数。
showsignature(object = "kStepEstimate"): a show method;
显示signature(object = "kStepEstimate")：show方法;
（作者）----------Author(s)----------
Matthias Kohl <a href="mailto:Matthias.Kohl@stamats.de">Matthias.Kohl@stamats.de</a>
参见----------See Also----------
ALEstimate-class
ALEstimate-class
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注：
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发表于 2012-9-27 19:54:49
