nlmeObject(nlme)
nlmeObject()所属R语言包：nlme
Fitted nlme Object
合身nlme对象
译者：生物统计家园网 机器人LoveR
描述----------Description----------
An object returned by the nlme function, inheriting from class nlme, also inheriting from class lme, and representing a fitted nonlinear mixed-effects model. Objects of this class have methods for the generic functions anova, coef, fitted, fixed.effects, formula, getGroups, getResponse, intervals, logLik, pairs, plot, predict, print, random.effects, residuals, summary, and update.
返回的对象nlme函数，继承类nlme，也继承类lme，拟合非线性混合效应模型。这个类的对象有通用功能anova，coef，fitted，fixed.effects，formula，getGroups，getResponse方法，intervals，logLik，pairs，plot，predict，print，random.effects，residuals summary，update。
值----------Value----------
The following components must be included in a legitimate nlme object.
在一个合法的nlme对象，必须包含以下组件。
参数：apVar
an approximate covariance matrix for the variance-covariance coefficients. If apVar = FALSE in the list of control values used in the call to nlme, this component is equal to NULL.
协方差系数近似协方差矩阵。如果apVar = FALSE用于调用nlme在控制值的列表，这个组件是平等NULL。
参数：call
a list containing an image of the nlme call that produced the object.
列表中包含nlme调用产生的对象的形象。
参数：coefficients
a list with two components, fixed and random, where the first is a vector containing the estimated fixed effects and the second is a list of matrices with the estimated random effects for each level of grouping. For each matrix in the random list, the columns refer to the random effects and the rows to the groups.
两部分组成名单，fixed和random，其中首先是一个向量包含固定效应估计和第二是与每个分组级别的估计随机效应的矩阵列表。对于每个random列表矩阵，列指的随机效应和行组。
参数：contrasts
a list with the contrasts used to represent factors in the fixed effects formula and/or random effects formula. This information is important for making predictions from a new data frame in which not all levels of the original factors are observed. If no factors are used in the nlme model, this component will be an empty list.
用来表示固定效应公式和/或随机效应公式因素的对比列表。这个信息是非常重要的预测，从一个新的数据框中，并非所有的原始因素的水平观察。如果没有的因素，在的nlme模型使用，这个组件将是一个空列表。
参数：dims
a list with basic dimensions used in the nlme fit, including the components N - the number of observations in the data, Q - the number of grouping levels, qvec - the number of random effects at each level from innermost to outermost (last two values are equal to zero and correspond to the fixed effects and the response), ngrps - the number of groups at each level from innermost to outermost (last two values are one and correspond to the fixed effects and the response), and ncol - the number of columns in the model matrix for each level of grouping from innermost to outermost (last two values are equal to the number of fixed effects and one).
在的nlme适合使用的基本尺寸，包括组件的列表N - 观测数据，Q - 分组级别的数量，qvec - 随机数在每个级别从最内层到最外层的影响（最后两个值是相等的零和对应的固定效应和响应），ngrps - 在每个级别的组数从最内层到最外层（最后两个值和对应的固定效应和响应），ncol - 为每个分组级别的模型矩阵的列数从内心的最外层（最后两个值是相等的固定效应之一） 。
参数：fitted
a data frame with the fitted values as columns. The leftmost column corresponds to the population fixed effects (corresponding to the fixed effects only) and successive columns from left to right correspond to increasing levels of grouping.
与拟合值作为列的数据框。最左边的列对应的人口固定效应（对应唯一的固定效应）和连续列从左至右对应的分组增加。
参数：fixDF
a list with components X and terms specifying the denominator degrees of freedom for, respectively, t-tests for the individual fixed effects and F-tests for the fixed-effects terms in the models.
一个组件列表X和terms自由指定分母度，分别为个体固定效应和固定效应模型的F检验的t-检验。
参数：groups
a data frame with the grouping factors as columns. The grouping level increases from left to right.
与数据框为列分组因素。分组级别增加由左到右。
参数：logLik
the (restricted) log-likelihood at convergence.
（限制）记录在收敛的可能性。
参数：map
a list with components fmap, rmap, rmapRel, and bmap, specifying various mappings for the fixed and random effects, used to generate predictions from the fitted object.
一个组件的列表fmap，rmap，rmapRel，bmap，指定为固定和随机从拟合对象用于生成预测的影响，各种映射。
参数：method
the estimation method: either "ML" for maximum likelihood, or "REML" for restricted maximum likelihood.
估计方法：要么"ML"最大的可能性，或"REML"约束最大似然。
参数：modelStruct
an object inheriting from class nlmeStruct, representing a list of mixed-effects model components, such as reStruct, corStruct, and varFunc objects.
nlmeStruct，代表的混合效应模型组件的列表，如reStruct，corStruct，varFunc对象，对象类继承。
参数：numIter
the number of iterations used in the iterative algorithm.
迭代算法中使用的迭代数量。
参数：residuals
a data frame with the residuals as columns. The leftmost column corresponds to the population residuals and successive columns from left to right correspond to increasing levels of grouping.
与数据框的残差作为列。最左边的列对应人口残差和连续列从左至右对应的分组水平的不断提高。
参数：sigma
the estimated within-group error standard deviation.
组内估计误差的标准偏差。
参数：varFix
an approximate covariance matrix of the fixed effects estimates.
固定效应估计的近似协方差矩阵。
作者（S）----------Author(s)----------
Jose Pinheiro and Douglas Bates <a href="mailto:bates@stat.wisc.edu">bates@stat.wisc.edu</a>
参见----------See Also----------
nlme, nlmeStruct
nlme，nlmeStruct
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。
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发表于 2012-2-16 17:50:31
