binormal(VGAM)
binormal()所属R语言包：VGAM
Bivariate normal distribution
二维正态分布
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Maximum likelihood estimation of the five parameters of a bivariate normal distribution.
二元正态分布的五个参数的极大似然估计。
用法----------Usage----------
binormal(lmean1 = "identity", emean1 = list(),
lmean2 = "identity", emean2 = list(),
lsd1 = "loge", esd1 = list(),
lsd2 = "loge", esd2 = list(),
lrho = "rhobit", erho = list(),
imean1 = NULL, imean2 = NULL,
isd1 = NULL, isd2 = NULL,
irho = NULL, imethod = 1,
equalmean = FALSE, equalsd = FALSE,
zero = 3:5)
参数----------Arguments----------
参数：lmean1, lmean2, lsd1, lsd2, lrho
Link functions applied to the means, standard deviations and rho parameters. See Links for more choices. Being positive quantities, a log link is the default for the standard deviations.
链接功能的均值，标准差和rho参数。见Links更多的选择。作为积极的数量，log链接是默认的标准差。
参数：emean1, emean2, esd1, esd2, erho
List. Extra argument for the links. 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：imean1, imean2, isd1, isd2, irho, imethod, zero
See CommonVGAMffArguments for more information.
见CommonVGAMffArguments更多信息。
参数：equalmean, equalsd
Logical or formula. Constrains the means or the standard deviations to be equal. Only one of these arguments may be assigned a value.
逻辑或公式。约束装置或标准偏差，是相等的。这些参数中只有一个可能被分配一个值。
Details
详细信息----------Details----------
For the bivariate normal distribution, this fits a linear model (LM) to the means, and by default, the other parameters are intercept-only. The response should be a two-column matrix. The correlation parameter is rho, which lies between -1 and 1 (thus the rhobit link is a reasonable choice). The fitted means are returned as the fitted values, which is in the form of a two-column matrix. Fisher scoring is implemented.
对于二元正态分布，符合线性模型（LM）的手段，和其他参数默认情况下，仅截距。响应应该是一个两列的矩阵。的相关参数是rho，它介于-1和1（rhobit链接是一个合理的选择）。拟合的装置，作为拟合的值，这是在一个两列的矩阵的形式返回。费舍尔得分的实施。
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，vgam。
注意----------Note----------
If both equal means and equal standard deviations are desired then use something like constraints = list("(Intercept)" = matrix(c(1,1,0,0,0, 0,0,1,1,0 ,0,0,0,0,1), 5, 3)) and maybe zero = NULL etc.
如果两个平等的手段和平等的标准差都想要的，然后使用类似constraints = list("(Intercept)" = matrix(c(1,1,0,0,0, 0,0,1,1,0 ,0,0,0,0,1), 5, 3))也许zero = NULL等等。
（作者）----------Author(s)----------
T. W. Yee
参见----------See Also----------
normal1, gaussianff.
normal1，gaussianff。
实例----------Examples----------
nn <- 1000
mydat = data.frame(x2 = runif(nn), x3 = runif(nn))
mydat = transform(mydat, y1 = rnorm(nn, 1 + 2*x2),
y2 = rnorm(nn, 3 + 4*x2))
fit1 = vglm(cbind(y1, y2) ~ x2,
binormal(equalsd = TRUE), data = mydat, trace = TRUE)
coef(fit1, matrix = TRUE)
constraints(fit1)
summary(fit1)
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 15:27:12
