bilogistic4(VGAM)
bilogistic4()所属R语言包：VGAM
Bivariate Logistic Distribution Family Function
二元MF配送家庭功能
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Estimates the four parameters of the bivariate logistic distribution by maximum likelihood estimation.
估计参数的二元MF配送，通过最大似然估计。
用法----------Usage----------
bilogistic4(llocation = "identity", lscale = "loge",
iloc1 = NULL, iscale1 = NULL, iloc2 = NULL, iscale2 = NULL,
imethod = 1, zero = NULL)
参数----------Arguments----------
参数：llocation
Link function applied to both location parameters l1 and l2. See Links for more choices.
链接功能适用于这两个位置参数l1和l2。见Links更多的选择。
参数：lscale
Parameter link function applied to both (positive) scale parameters s1 and s2. See Links for more choices.
参数链接功能适用于两个（正）尺度参数s1和s2。见Links更多的选择。
参数：iloc1, iloc2
Initial values for the location parameters. By default, initial values are chosen internally using imethod. Assigning values here will override the argument imethod.
的位置参数的初始值。默认情况下，初始值是内部选择使用imethod。在这里指定的值将覆盖参数imethod。
参数：iscale1, iscale2
Initial values for the scale parameters. By default, initial values are chosen internally using imethod. Assigning values here will override the argument imethod.
为尺度参数的初始值。默认情况下，初始值是内部选择使用imethod。在这里指定的值将覆盖参数imethod。
参数：imethod
An integer with value 1 or 2 which specifies the initialization method. If failure to converge occurs try the other value.
一个整数，值1或2指定的初始化方法。如果收敛失败发生的其他值。
参数：zero
An integer-valued vector specifying which linear/additive predictors are modelled as intercepts only. The default is none of them. If used, choose values from the set {1,2,3,4}.
指定一个整数值向量线性/添加剂的预测模型仅作为拦截。在默认情况下是没有。如果使用，请选择从集合{1,2,3,4}的值。
Details
详细信息----------Details----------
The four-parameter bivariate logistic distribution has a density that can be written as
四参数二元logistic分布具有的密度，可以写为
where s1>0 s2>0 are the scale parameters, and l1 and l2 are the location parameters. Each of the two responses are unbounded, i.e., -Inf<y_j<Inf. The mean of Y1 is l1 etc. The fitted values are returned in a 2-column matrix. The cumulative distribution function is
s1>0s2>0是尺度参数，并l1和l2现在的位置参数。的反应是无界的，即-Inf<y_j<Inf。平均Y1是l1等的拟合值中返回一个2列的矩阵。累积分布函数是
The marginal distribution of Y1 is
边缘分布Y1
By default, eta1=l1, eta2=log(s1), eta3=l2, eta4=log(s2) are the linear/additive predictors.
默认情况下，eta1=l1，eta2=log(s1)，eta3=l2，eta4=log(s2)是线性/对添加剂的预测。
值----------Value----------
An object of class "vglmff" (see vglmff-class). The object is used by modelling functions such as vglm, rrvglm and vgam.
类的一个对象"vglmff"（见vglmff-class）。该对象被用于建模功能，如vglm，rrvglm和vgam。
注意----------Note----------
This family function uses the BFGS quasi-Newton update formula for the working weight matrices. Consequently the estimated variance-covariance matrix may be inaccurate or simply wrong! The standard errors must be therefore treated with caution; these are computed in functions such as vcov() and summary().
这间家庭功能使用BFGS拟牛顿更新公式的权重矩阵。因此，估计的方差 - 协方差矩阵可能是不准确的或完全错误的！标准误差必须谨慎对待，因此，这些计算功能，如vcov()和summary()。
（作者）----------Author(s)----------
T. W. Yee
参考文献----------References----------
Bivariate logistic distributions. Journal of the American Statistical Association, 56, 335–349.
Extreme Value and Related Models with Applications in Engineering and Science, Hoboken, NJ, USA: Wiley-Interscience.
参见----------See Also----------
logistic, rbilogis4.
logistic，rbilogis4。
实例----------Examples----------
ymat = rbilogis4(n <- 1000, loc1 = 5, loc2 = 7, scale2 = exp(1))
## Not run: plot(ymat)[＃不运行：图（ymat）]
fit = vglm(ymat ~ 1, fam = bilogistic4, trace = TRUE)
coef(fit, matrix = TRUE)
Coef(fit)
head(fitted(fit))
vcov(fit)
head(weights(fit, type = "work"))
summary(fit)
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 15:26:49
