corCAR1(nlme)
corCAR1()所属R语言包：nlme
Continuous AR(1) Correlation Structure
连续的AR（1）相关结构
译者：生物统计家园网 机器人LoveR
描述----------Description----------
This function is a constructor for the corCAR1 class, representing an autocorrelation structure of order 1, with a continuous time covariate. Objects created using this constructor must be later initialized using the appropriate Initialize method.
此功能一个corCAR1类较1阶自相关结构，构造，连续时间协。创建的对象，必须使用此构造后初始化使用适当的Initialize方法。
用法----------Usage----------
corCAR1(value, form, fixed)
参数----------Arguments----------
参数：value
the correlation between two observations one unit of time apart. Must be between 0 and 1. Defaults to 0.2.
一个单位时间相隔两意见之间的相互关系。必须是0和1之间。默认为0.2。
参数：form
a one sided formula of the form ~ t, or ~ t | g, specifying a time covariate t and, optionally, a grouping factor g. Covariates for this correlation structure need not be integer valued. When a grouping factor is present in form, the correlation structure is assumed to apply only to observations within the same grouping level; observations with different grouping levels are assumed to be uncorrelated. Defaults to ~ 1, which corresponds to using the order of the observations in the data as a covariate, and no groups.
一个双面公式的形式~ t或~ t | g，指定时间协t“，可选的分组因素g。此相关结构的协变量需要不是整数重视。当一个分组的因素是在form目前，相关结构假设只适用于在同一分组级别的观察，观察不同的分组级别被假定为不相关。默认~ 1，这相当于使用秩序的意见作为协变量的数据，并没有组。
参数：fixed
an optional logical value indicating whether the coefficients should be allowed to vary in the optimization, or kept fixed at their initial value. Defaults to FALSE, in which case the coefficients are allowed to vary.
一个可选的逻辑值，指明系数是否应允许不同的优化，或保持固定在其初始值。默认FALSE，在这种情况下，系数允许不同。
值----------Value----------
an object of class corCAR1, representing an autocorrelation structure of order 1, with a continuous time covariate.
一个类的对象corCAR1，较1阶自相关结构，连续时间协变量。
作者（S）----------Author(s)----------
Jose Pinheiro and Douglas Bates <a href="mailto:bates@stat.wisc.edu">bates@stat.wisc.edu</a>
参考文献----------References----------
Analysis: Forecasting and Control", 3rd Edition, Holden-Day.
State-space Approach", Chapman and Hall.
in S and S-PLUS", Springer, esp. pp. 236, 243.
参见----------See Also----------
corClasses, Initialize.corStruct, summary.corStruct
corClasses，Initialize.corStruct，summary.corStruct
举例----------Examples----------
## covariate is Time and grouping factor is Mare[＃协变量是时间和分组因素是母马]
cs1 <- corCAR1(0.2, form = ~ Time | Mare)
# Pinheiro and Bates, pp. 240, 243[皮涅伊罗和贝茨，第240页，243]
fm1Ovar.lme <- lme(follicles ~
sin(2*pi*Time) + cos(2*pi*Time),
data = Ovary, random = pdDiag(~sin(2*pi*Time)))
fm4Ovar.lme <- update(fm1Ovar.lme,
correlation = corCAR1(form = ~Time))
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。
|
发表于 2012-2-16 21:19:32
