CovControlMcd-class(rrcov)
CovControlMcd-class()所属R语言包：rrcov
Class 'CovControlMcd' - contains control parameters for CovMcd
“CovControlMcd类 - 包含控制参数CovMcd
译者：生物统计家园网 机器人LoveR
描述----------Description----------
This class extends the CovControl class and contains the control parameters for "CovMcd"
这个类扩展了CovControl类包含的控制参数"CovMcd"
类对象----------Objects from the Class----------
Objects can be created by calls of the form new("CovControlMcd", ...) or by calling the constructor-function CovControlMcd.
对象可以通过调用的形式new("CovControlMcd", ...)创建或调用构造函数的函数CovControlMcd。
插槽----------Slots----------
alpha: numeric parameter controlling the size of the subsets over which the determinant is minimized, i.e., alpha*n observations are used for computing the determinant. Allowed values
alpha：数值参数控制行列式最小的子集的大小，即，alpha*n观测用于计算行列式。允许值
nsamp: number of subsets used for initial estimates or "best" or "exact". Default is nsamp = 500. For nsamp="best" exhaustive enumeration is done, as long as the number of trials does not exceed 5000. For "exact", exhaustive enumeration will be attempted however many samples are needed. In this case a warning message will be displayed saying
nsamp：数子集用于初步估算或"best"或"exact"。默认是nsamp = 500。对于nsamp="best"穷举完成，只要试验的次数不超过5000。对于"exact"，穷举尝试，然而，许多样品需要。在这种情况下，将显示一条警告消息，说
seed: starting value for random generator. Default is seed = NULL
seed：随机数发生器的初始值。默认是seed = NULL
use.correction: whether to use finite sample correction factors. Default is use.correction=TRUE.
use.correction：是否使用有限样本的校正因素。默认是use.correction=TRUE。
trace, tolSolve: from the "CovControl" class.
trace，tolSolve：从"CovControl"类。
扩展----------Extends----------
Class "CovControl", directly.
类"CovControl"，直接。
方法----------Methods----------
restimate signature(obj = "CovControlMcd"): the generic function restimate allows the different methods for robust estimation to be used polymorphically - this function will call CovMcd passing it the control
restimate signature(obj = "CovControlMcd")：通用功能restimate允许被多态地使用不同的方法，稳健估计 - 这个函数会调用CovMcd通过它的控制
（作者）----------Author(s)----------
Valentin Todorov <a href="mailto:valentin.todorov@chello.at">valentin.todorov@chello.at</a>
参考文献----------References----------
An Object Oriented Framework for Robust Multivariate Analysis. Journal of Statistical Software, 32(3), 1–47. URL http://www.jstatsoft.org/v32/i03/.
实例----------Examples----------
## the following two statements are equivalent[＃下面的两个语句是等价的]
ctrl1 <- new("CovControlMcd", alpha=0.75)
ctrl2 <- CovControlMcd(alpha=0.75)
data(hbk)
CovMcd(hbk, control=ctrl1)
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 2012-9-28 20:41:57
