pdIdnot(mgcv)
pdIdnot()所属R语言包：mgcv
Overflow proof pdMat class for multiples of the identity matrix
溢出证明身份矩阵的倍数pdMat类
译者：生物统计家园网 机器人LoveR
描述----------Description----------
This set of functions is a modification of the pdMat class pdIdent from library nlme. The modification is to replace the log parameterization used in pdMat with a notLog2 parameterization, since the latter avoids indefiniteness in the likelihood and associated convergence problems: the parameters also relate to variances rather than standard deviations, for consistency with the pdTens class. The functions are particularly useful for working with Generalized Additive Mixed Models where variance parameters/smoothing parameters can be very large or very small, so that overflow or underflow can be a problem.
这套功能是修改了pdMat类pdIdent库nlme。修改，以取代用在日志参数pdMatnotLog2参数，因为后者可避免的可能性和相关的衔接问题的不确定性参数，还涉及到的差异，而不是标准差，一致性与pdTens类。广义加法混合模型方差参数/平滑参数可以是非常大或非常小，所以溢或下溢可能是一个问题的工作特别有用的功能是。
These functions would not normally be called directly, although unlike the pdTens class it is easy to do so.
这些功能通常不会被直接调用，虽然不像pdTens类很容易这样做。
用法----------Usage----------
pdIdnot(value = numeric(0), form = NULL,
nam = NULL, data = sys.frame(sys.parent()))
参数----------Arguments----------
参数：value
Initialization values for parameters. Not normally used.
初始化参数值。不能正常使用。
参数：form
A one sided formula specifying the random effects structure.
一个双面公式指定随机效应结构。
参数：nam
a names argument, not normally used with this class.
地名的说法，而不是通常使用这个类。
参数：data
data frame in which to evaluate formula.
数据框在其中计算公式。
Details
详情----------Details----------
The following functions are provided: Dim.pdIndot, coef.pdIdnot, corMatrix.pdIdnot, logDet.pdIdnot, pdConstruct.pdIdnot, pdFactor.pdIdnot, pdMatrix.pdIdnot, solve.pdIdnot, summary.pdIdnot. (e.g. mgcv:::coef.pdIdnot to access.)
提供以下功能：Dim.pdIndot，coef.pdIdnot，corMatrix.pdIdnot，logDet.pdIdnot，pdConstruct.pdIdnot，pdFactor.pdIdnot，pdMatrix.pdIdnot，solve.pdIdnot，summary.pdIdnot。 （例如mgcv:::coef.pdIdnot访问。）
Note that while the pdFactor and pdMatrix functions return the inverse of the scaled random effect covariance matrix or its factor, the pdConstruct function is initialised with estimates of the scaled covariance matrix itself.
请注意，虽然pdFactor和pdMatrix函数返回逆规模的随机效应的协方差矩阵或它的因子，pdConstruct函数初始化规模的协方差矩阵本身的估计。
值----------Value----------
A class pdIdnot object, or related quantities. See the nlme documentation for further details.
A类pdIdnot对象，或相关的数量。见nlme文件，为进一步的细节。
作者（S）----------Author(s)----------
Simon N. Wood <a href="mailto:simon.wood@r-project.org">simon.wood@r-project.org</a>
参考文献----------References----------
参见----------See Also----------
te, pdTens, notLog2, gamm
te，pdTens，notLog2，gamm
举例----------Examples----------
# see gamm[看到GAMM]
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 2012-2-16 19:31:20
