fff(VGAM)
fff()所属R语言包：VGAM
F Distribution Family Function
家庭功能的F分布
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Maximum likelihood estimation of the (2-parameter) F distribution.
（2参数）F分布的最大似然估计。
用法----------Usage----------
fff(link="loge", earg=list(), idf1=NULL, idf2=NULL, nsimEIM=100,
imethod=1, zero=NULL)
参数----------Arguments----------
参数：link
Parameter link function for both parameters. See Links for more choices. The default keeps the parameters positive.
这两个参数的参数链接功能。见Links更多的选择。在默认情况下保持的参数正面的。
参数：earg
List. Extra argument for the link. See earg in Links for general information.
列表。额外的参数的链接。见earg中Links的一般信息。
参数：idf1, idf2
Numeric and positive. Initial value for the parameters. The default is to choose each value internally.
数字和积极的。参数的初始值。默认情况下是选择内部的每个值。
参数：nsimEIM
See CommonVGAMffArguments for more information.
见CommonVGAMffArguments更多信息。
参数：imethod
Initialization method. Either the value 1 or 2. If both fail try setting values for idf1 and idf2.
初始化方法。无论的值1或2。如果二者均失败尝试设定值idf1和idf2。
参数：zero
An integer-valued vector specifying which linear/additive predictors are modelled as intercepts only. The value must be from the set {1,2}, corresponding respectively to df1 and df2. By default all linear/additive predictors are modelled as a linear combination of the explanatory variables.
指定一个整数值向量线性/添加剂的预测模型仅作为拦截。该值必须是从集合{1,2}，分别对应df1和df2。默认情况下，所有的线性/添加剂的预测模型的解释变量的线性组合。
Details
详细信息----------Details----------
The F distribution is named after Fisher and has a density function that has two parameters, called df1 and df2 here. This function treats these degrees of freedom as positive reals rather than integers. The mean of the distribution is df2/(df2-2) provided df2>2, and its variance is 2*df2^2*(df1+df2-2)/ (df1*(df2-2)^2*(df2-4)) provided df2>4. The estimated mean is returned as the fitted values. Although the F distribution can be defined to accommodate a non-centrality parameter ncp, it is assumed zero here. Actually it shouldn't be too difficult to handle any known ncp; something to do in the short future.
后，费舍尔被命名为F分布的密度函数有两个参数，称为df1和df2这里。此功能将这些度为正实数，而不是整数的自由。平均的分布是df2/(df2-2)提供df2>2，和方差为2*df2^2*(df1+df2-2)/ (df1*(df2-2)^2*(df2-4))提供df2>4的。估计平均的拟合值返回。虽然F分布可以被定义为容纳一个非中心参数ncp，它在这里被假定为零。其实它不应该是太困难了处理任何已知的ncp的东西做在短期的未来。
值----------Value----------
An object of class "vglmff" (see vglmff-class). The object is used by modelling functions such as vglm and vgam.
类的一个对象"vglmff"（见vglmff-class）。该对象被用于建模功能如vglm和vgam。
警告----------Warning----------
Numerical problems will occur when the estimates of the parameters are too low or too high.
数值的参数估计过低或过高时，就会出现问题。
（作者）----------Author(s)----------
T. W. Yee
参考文献----------References----------
Statistical Distributions, New York: Wiley-Interscience, Third edition.
参见----------See Also----------
FDist.
FDist。
实例----------Examples----------
x = runif(n <- 2000)
df1 = exp(2+0.5*x)
df2 = exp(2-0.5*x)
y = rf(n, df1, df2)
fit = vglm(y ~ x, fff, trace=TRUE)
coef(fit, matrix=TRUE)
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 2012-10-1 15:34:07
