fix.family.link(mgcv)
fix.family.link()所属R语言包：mgcv
Modify families for use in GAM fitting and checking
修改自由亚齐运动的家庭装修和检查
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Generalized Additive Model fitting by "outer" iteration, requires extra derivatives of the variance and link functions to be added to family objects. The first 3 functions add what is needed. Model checking can be aided by adding quantile and random deviate generating functions to the family. The final two functions do this.
广义相加模型拟合由“外”的迭代，需要额外的衍生工具的方差和链接功能被添加到家庭对象。第3个功能，添加所需要的。模型检查可以帮助家庭加入偏离分量和随机生成函数。最后两个功能做到这一点。
用法----------Usage----------
fix.family.link(fam)
fix.family.var(fam)
fix.family.ls(fam)
fix.family.qf(fam)
fix.family.rd(fam)
参数----------Arguments----------
参数：fam
A family.
Afamily。
Details
详情----------Details----------
Consider the first 3 function first.
首先考虑的第3个功能。
Outer iteration GAM estimation requires derivatives of the GCV, UBRE/gAIC, GACV, REML or ML score, which are obtained by finding the derivatives of the model coefficients w.r.t. the log smoothing parameters, using the implicit function theorem. The expressions for the derivatives require the second and third derivatives of the link w.r.t. the mean (and the 4th derivatives if Fisher scoring is not used). Also required are the first and second derivatives of the variance function w.r.t. the mean (plus the third derivative if Fisher scoring is not used). Finally REML or ML estimation of smoothing parameters requires the log saturated likelihood and its first two derivatives w.r.t. the scale parameter. These functions add functions evaluating these quantities to a family.
外部循环自由亚齐运动估计需要衍生物GCV的，UBRE / GAIC，GACV，REML法或ML得分，这是发现该模型的系数WRT的衍生物日志平滑参数，使用隐函数定理。衍生的表达需要链接WRT的第二个和第三个衍生物平均（和第四衍生物，如果不使用费舍尔得分）。还需要的方差函数WRT的第一和第二衍生物平均（加上第三个衍生工具，如果不使用费舍尔得分）。最后REML法或ML估计平滑参数需要日志饱和的可能性和其前两个衍生物WRT尺度参数。这些功能的添加数量，以评估这些家庭的功能。
If the family already has functions dvar, d2var, d3var, d2link, d3link, d4link and for RE/ML ls, then these functions simply return the family unmodified: this allows non-standard links to be used with gam when using outer iteration (performance iteration operates with unmodified families). Note that if you only need Fisher scoring then d4link and d3var can be dummy, as they are ignored. similalry ls is only needed for RE/ML.
如果家庭已经拥有功能dvar，d2var，d3var，d2link，d3link，d4link“RE /毫升ls ，那么这些功能简单的返回家庭未修改：这允许用gam使用非标准的链接使用外部循环（性能进行迭代与未修改家庭经营）。请注意，如果你只需要费舍尔得分，然后d4link和d3var可以是虚拟的，因为它们将被忽略。 similalryls只需要RE /毫升。
The dvar function is a function of a mean vector, mu, and returns a vector of corresponding first derivatives of the family variance function. The d2link function is also a function of a vector of mean values, mu: it returns a vector of second derivatives of the link, evaluated at mu. Higher derivatives are defined similarly.
功能是dvar平均向量功能，mu，并返回相应的家庭方差函数的一阶导数的向量。 d2link函数也是一个平均值向量函数，mu：它返回一个链接的第二个衍生的向量，在mu评估。更高的衍生工具的定义类似。
If modifying your own family, note that you can often get away with supplying only a dvar and d2var, function if your family only requires links that occur in one of the standard families.
如果修改自己的家庭，请注意，你可以经常与供应只有一个dvar和d2var，如果你的家庭只需要在一个标准的家庭发生的功能。
The second two functions are useful for investigating the distribution of residuals and are used by qq.gam. If possible the functions add quantile (qf) or random deviate (rd) generating functions to the family. If a family already has qf or rd functions then it is left unmodified. qf functions are only available for some families, and for quasi families neither type of function is available.
第二个功能是有用的残差分布调查和使用qq.gam。如果可能的功能添加位数（qf）或随机偏离（rd）生成功能的家庭。如果一个家庭已经拥有qf或rd功能，那么它留给未修改。 qf功能只适用于一些家庭，准家庭既不类型的功能是可以的。
值----------Value----------
A family object with extra component functions dvar, d2var, d2link, d3link, d4link, ls, and possibly qf and rd, depending on which functions are called.
一个额外的组件功能的家庭对象dvar，d2var，d2link，d3link，d4link，ls，并有可能qf rd，这取决于功能被称为。
作者（S）----------Author(s)----------
Simon N. Wood <a href="mailto:simon.wood@r-project.org">simon.wood@r-project.org</a>
参见----------See Also----------
gam.fit3, qq.gam
gam.fit3，qq.gam
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 19:03:58
