Zinegbin(VGAM)
Zinegbin()所属R语言包：VGAM
Zero-Inflated Negative Binomial Distribution
零膨胀负二项分布
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Density, distribution function, quantile function and random generation for the zero-inflated negative binomial distribution with parameter pstr0.
密度，分布函数，分位数的功能和随机生成的零膨胀负二项式分布参数pstr0。
用法----------Usage----------
dzinegbin(x, size, prob = NULL, munb = NULL, pstr0 = 0, log = FALSE)
pzinegbin(q, size, prob = NULL, munb = NULL, pstr0 = 0)
qzinegbin(p, size, prob = NULL, munb = NULL, pstr0 = 0)
rzinegbin(n, size, prob = NULL, munb = NULL, pstr0 = 0)
参数----------Arguments----------
参数：x, q
vector of quantiles.
向量的位数。
参数：p
vector of probabilities.
向量的概率。
参数：n
number of observations. Must be a single positive integer.
若干意见。必须是一个单一的正整数。
参数：size, prob, munb, log
Arguments matching dnbinom. The argument munb corresponds to mu in dnbinom and has been renamed to emphasize the fact that it is the mean of the negative binomial component.
参数匹配dnbinom。参数munb对应于mu在dnbinom和已更名为强调这样的事实，它是平均的负二项分布成分。
参数：pstr0
Probability of structural zero (i.e., ignoring the negative binomial distribution), called phi.
结构零（即，忽略了负二项分布），被称为phi概率。
Details
详细信息----------Details----------
The probability function of Y is 0 with probability phi, and a negative binomial distribution with probability 1-phi. Thus
的概率函数Y是0的概率phi，和一个负二项式分布的概率1-phi。从而
where W is distributed as a negative binomial distribution (see rnbinom.) See negbinomial, a VGAM family function, for the formula of the probability density function and other details of the negative binomial distribution.
W的分布为负二项分布（见rnbinom）。negbinomial，一个VGAM家庭功能，为的概率密度函数的公式和其他细节负二项分布。
值----------Value----------
dzinegbin gives the density, pzinegbin gives the distribution function, qzinegbin gives the quantile function, and rzinegbin generates random deviates.
dzinegbin给出了密度，pzinegbin给出了分布函数，qzinegbin给出了分位数的功能，和rzinegbin随机产生的偏离。
注意----------Note----------
The argument pstr0 is recycled to the required length, and must have values which lie in the interval [0,1].
的参数pstr0被回收到所需的长度，而且必须有趴在区间[0,1]值。
These functions actually allow for zero-deflation. That is, the resulting probability of a zero count is less than the nominal value of the parent distribution. See Zipois for more information.
实际上，这些功能允许零通缩。也就是说，一个零计数所得到的概率是小于标称值父分布。见Zipois更多信息。
（作者）----------Author(s)----------
Thomas W. Yee
参见----------See Also----------
zinegbinomial, rnbinom, rzipois.
zinegbinomial，rnbinom，rzipois。
实例----------Examples----------
munb = 3; pstr0 = 0.2; size = k = 10; x = 0:10
(ii = dzinegbin(x, pstr0 = pstr0, mu = munb, size = k))
max(abs(cumsum(ii) - pzinegbin(x, pstr0 = pstr0, mu = munb, size = k))) # 0[0]
table(rzinegbin(100, pstr0 = pstr0, mu = munb, size = k))
table(qzinegbin(runif(1000), pstr0 = pstr0, mu = munb, size = k))
round(dzinegbin(x, pstr0 = pstr0, mu = munb, size = k) * 1000) # Should be similar[应该是相似的]
## Not run: barplot(rbind(dzinegbin(x, pstr0 = pstr0, mu = munb, size = k),[＃不运行：barplot（rbind（X，pstr0 = pstr0，亩= munb，大小= K dzinegbin（）的，]
dnbinom(x, mu = munb, size = k)), las = 1,
beside = TRUE, col = c("blue", "green"), ylab = "Probability",
main = paste("ZINB(mu = ", munb, ", k = ", k, ", pstr0 = ", pstr0,
") (blue) vs NB(mu = ", munb,
", size = ", k, ") (green)", sep = ""),
names.arg = as.character(x))
## End(Not run)[＃（不执行）]
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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。
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发表于 2012-10-1 16:01:22
