huggins91UC(VGAM)
huggins91UC()所属R语言包：VGAM
Huggins (1991) Capture-recapture Model
哈金斯（1991）捕获 - 再捕获模型
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Density, and random generation for the Huggins (1991) capture-recapture model.
哈金斯（1991）捕获 - 再捕获模型的密度和随机生成。
用法----------Usage----------
rhuggins91(n, nTimePts = 5, pvars = length(xcoeff), xcoeff = c(-2, 1, 2),
capeffect = -1, double.ch = FALSE,
link = "logit", earg = list())
dhuggins91(x, prob, prob0 = prob, log = FALSE)
参数----------Arguments----------
参数：x
response vector or matrix. Should have values of 0s or 1s.
响应矢量或矩阵。如果有值0或1。
参数：nTimePts
Number of sampling occasions. Called T in huggins91.
样本的数量。 Thuggins91调用。
参数：n
number of observations. Usually a single positive integer, else the length of the vector is used.
若干意见。一般一个正整数，否则使用的向量长度。
参数：capeffect
Numeric, the capture effect. Added to the linear predictor if captured previously. A positive or negative value corresponds to a trap-happy and trap-shy effect respectively.
数字，捕捉效果。如果被俘的线性预测。一个正的或负的值对应于一个幸福的陷阱和陷阱害羞的影响分别。
参数：double.ch
Logical. If TRUE then the values of ch0, ch1, ... are 2 or 0, else 1 or 0. Setting this argument TRUE means that a model can be fitted with half the capture history in both denominator and numerator (this is a compromise of the Huggins (1991) model where the full capture history only appears in the numerator).
逻辑。如果TRUE那么的值ch0，ch1，...是2或0，否则是1或0。设置此参数TRUE是指一个模型可以配备一半的分母和分子捕获的历史（这是一个妥协的哈金斯（1991）的模型，捕捉历史只出现在分子）。
参数：pvars
Number of other numeric covariates that make up the linear predictor. Labelled x1, x2, ..., where the first is an intercept, and the others are independent standard runif random variates. The first pvars elements of xcoeff are used.
其他数字协变量的线性预测数。中标为x1，x2，...，其中第一个是拦截，而其他的独立的标准runif随机变数。第一pvars元素xcoeff的使用。
参数：xcoeff
The regression coefficients of the linear predictor. These correspond to x1, x2, ..., and the first is for the intercept. The length of xcoeff must be at least pvars.
回归系数的线性预测。这些对应于x1，x2，...，和第一个为截距。 xcoeff的长度必须至少为pvars。
参数：link, earg
Used to generate the probabilities for capture at each occasion.
用于生成在每次捕获的概率。
参数：prob, prob0
Matrix of probabilities for the numerator and denominators respectively. The default does not correspond to the Huggins (1991) model since the denominator should be free of any capture history, i.e., as if it had never been caught before.
矩阵的分子和分母分别的概率。默认哈金斯（1991）的模型，因为不符合任何捕捉历史，即分母应该是免费的，因为它从来就没有被抓之前。
参数：log
Logical. Return the logarithm of the answer?
逻辑。返回数的回答吗？
Details
详细信息----------Details----------
The form of the conditional likelihood is described in huggins91.
的条件的可能性的形式描述在huggins91。
值----------Value----------
dhuggins91 gives the density, rhuggins91 returns a data frame with some attributes. The function generates random deviates (T columns labelled y1, y2, ...) for the response. Some indicator columns are also included (those starting with ch are for previous capture history, and those starting with z are zero), and these are useful for the xij argument.
dhuggins91给出了密度，rhuggins91返回一个数据框的一些属性。函数生成随机的的偏离（T列标记为y1，y2，...）的响应。还包括一些指标列（那些与ch以前捕获的历史，并开始与z是零），而这些都是有用的xij参数。
注意----------Note----------
These functions are experimental and do not follow the usual conventions of d- and r-type R functions.
这些功能是实验性的，不按照通常的惯例d - r-R型功能。
（作者）----------Author(s)----------
Thomas W. Yee
参见----------See Also----------
huggins91.
huggins91。
实例----------Examples----------
set.seed(123); rhuggins91(n = 10)
set.seed(123); rhuggins91(n = 10, double.ch = TRUE)
attributes(rhuggins91(n = 10))
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。
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发表于 2012-10-1 15:38:29
