intervals.gls(nlme)
intervals.gls()所属R语言包：nlme
Confidence Intervals on gls Parameters
GLS参数的置信区间
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Approximate confidence intervals for the parameters in the linear model represented by object are obtained, using a normal approximation to the distribution of the (restricted) maximum likelihood estimators (the estimators are assumed to have a normal distribution centered at the true parameter values and with covariance matrix equal to the negative inverse Hessian matrix of the (restricted) log-likelihood evaluated at the estimated parameters). Confidence intervals are obtained in an unconstrained scale first, using the normal approximation, and, if necessary, transformed to the constrained scale.
为在object代表的线性模型参数的近似置信区间得到（限制）的最大似然估计（估计假设有一个正常的分布集中在真正的参数分布，使用正常的近似值和协方差矩阵等于负逆Hessian矩阵（限制）对数似然估计参数评估）。置信区间得到一个无约束的规模第一，使用正常的近似，如有必要，转化为限制规模。
用法----------Usage----------
## S3 method for class 'gls'
intervals(object, level, which, ...)
参数----------Arguments----------
参数：object
an object inheriting from class gls, representing a generalized least squares fitted linear model.
从类继承的对象gls，较广义最小二乘拟合线性模型。
参数：level
an optional numeric value for the interval confidence level. Defaults to 0.95.
一个可选的数值区间置信水平。默认值为0.95。
参数：which
an optional character string specifying the subset of parameters for which to construct the confidence intervals. Possible values are "all" for all parameters, "var-cov" for the variance-covariance parameters only, and "coef" for the linear model coefficients only. Defaults to "all".
一个可选的字符串指定的参数的子集来构建置信区间。可能的值是"all"所有参数，"var-cov"只为协方差参数，"coef"线性模型系数。 "all"默认。
参数：...
some methods for this generic require additional arguments. None are used in this method.
这个通用的一些方法需要额外的参数。没有使用这种方法。
值----------Value----------
a list with components given by data frames with rows corresponding to parameters and columns lower, est., and upper representing respectively lower confidence limits, the estimated values, and upper confidence limits for the parameters. Possible components are:
与相应的参数和列与行的数据框的组件列表lower，est.，upper代表分别低信心的限制，估计值，参数和上置信限。可能的组成部分是：
参数：coef
linear model coefficients, only present when which is not equal to "var-cov".
线性模型系数，只提出当which是不是等于"var-cov"的。
参数：corStruct
correlation parameters, only present when which is not equal to "coef" and a correlation structure is used in object.
相关参数，只呈现时which不等于"coef"和相关的结构object。
参数：varFunc
variance function parameters, only present when which is not equal to "coef" and a variance function structure is used in object.
方差函数的参数，只提出当which不等于"coef"和方差函数的结构object。
参数：sigma
residual standard error.
剩余标准误差。
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----------
in S and S-PLUS", Springer.
参见----------See Also----------
gls, intervals, print.intervals.gls
gls，intervals，print.intervals.gls
举例----------Examples----------
fm1 <- gls(follicles ~ sin(2*pi*Time) + cos(2*pi*Time), Ovary,
correlation = corAR1(form = ~ 1 | Mare))
intervals(fm1)
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 19:38:25
