betaprime(VGAM)
betaprime()所属R语言包：VGAM
The Beta-Prime Distribution
β-首相分布
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Estimation of the two shape parameters of the beta-prime distribution by maximum likelihood estimation.
两个形状参数的最大似然估计的β-主要分布估计。
用法----------Usage----------
betaprime(link = "loge", earg=list(), i1 = 2, i2 = NULL, zero = NULL)
参数----------Arguments----------
参数：link
Parameter link function applied to the two (positive) shape parameters. See Links for more choices.
参数链接功能施加到两个（正）的形状参数。见Links更多的选择。
参数：earg
List. Extra argument for each of the links. See earg in Links for general information.
列表。每个环节的额外参数。见earg中Links的一般信息。
参数：i1, i2
Initial values for the first and second shape parameters. A NULL value means it is obtained in the initialize slot. Note that i2 is obtained using i1.
为第一和第二的形状参数的初始值。 ANULL这个值意味着它获得initialize插槽。需要注意的是i2获得使用i1。
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 shape1 and shape2 respectively. If zero=NULL then both parameters are modelled with 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}，分别对应于shape1和shape2分别。如果zero=NULL然后两个参数模型的解释变量。
Details
详细信息----------Details----------
The beta-prime distribution is given by
分布的β-贷
for y > 0. The shape parameters are positive, and here, B is the beta function. The mean of Y is shape1 / (shape2-1) provided shape2>1.
y > 0。形状参数是正面的，在这里，B是测试功能。 Y的平均shape1 / (shape2-1)提供shape2>1。
If Y has a Beta(shape1,shape2) distribution then Y/(1-Y) and (1-Y)/Y have a Betaprime(shape1,shape2) and Betaprime(shape2,shape1) distribution respectively. Also, if Y1 has a gamma(shape1) distribution and Y2 has a gamma(shape2) distribution then Y1/Y2 has a Betaprime(shape1,shape2) distribution.
如果Y有Beta(shape1,shape2)版本，那么Y/(1-Y)和(1-Y)/Y有一个Betaprime(shape1,shape2)和Betaprime(shape2,shape1)分布。此外，如果Y1有gamma(shape1)的分布和Y2有gamma(shape2)分布，，然后Y1/Y2有Betaprime(shape1,shape2)分布。
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----------
The response must have positive values only.
响应必须有正面的价值观。
The beta-prime distribution is also known as the beta distribution of the second kind or the inverted beta distribution.
β-首要的分布也被称为第二类Beta分布的倒beta分布。
（作者）----------Author(s)----------
Thomas W. Yee
参考文献----------References----------
Chapter 25 of: Continuous Univariate Distributions, 2nd edition, Volume 2, New York: Wiley.
http://www.stat.auckland.ac.nz/~yee contains further information and examples.
参见----------See Also----------
betaff.
betaff。
实例----------Examples----------
nn = 1000
betadat = data.frame(shape1 = exp(1), shape2 = exp(3))
betadat = transform(betadat, yb = rbeta(nn, shape1, shape2))
betadat = transform(betadat, y1 = (1-yb)/yb, y2 = yb/(1-yb),
y3 = rgamma(nn, exp(3)) / rgamma(nn, exp(2)))
fit1 = vglm(y1 ~ 1, betaprime, betadat, trace=TRUE)
coef(fit1, matrix=TRUE)
fit2 = vglm(y2 ~ 1, betaprime, betadat, trace=TRUE)
coef(fit2, matrix=TRUE)
fit3 = vglm(y3 ~ 1, betaprime, betadat, trace=TRUE)
coef(fit3, matrix=TRUE)
# Compare the fitted values[比较拟合值]
with(betadat, mean(y3))
head(fitted(fit3))
Coef(fit3) # Useful for intercept-only models[仅截距模型]
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。
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发表于 2012-10-1 15:26:38
