closedN(secr)
closedN()所属R语言包:secr
Closed population estimates
封闭的人口估计
译者:生物统计家园网 机器人LoveR
描述----------Description----------
Estimate N, the size of a closed population, by several conventional non-spatial capture–recapture methods.
估价N,一个封闭的人口的大小,由几个传统的非空间捕获 - 再捕获方法。
用法----------Usage----------
closedN(object, estimator = NULL, level = 0.95, maxN = 1e+07,
dmax = 10 )
参数----------Arguments----------
参数:object
capthist object
capthist对象
参数:estimator
character; name of estimator (see Details)
字符名称的估计(见详情)
参数:level
confidence level (1 – alpha)
置信水平(1 - α)
参数:maxN
upper bound for population size
人口规模的上限
参数:dmax
numeric, the maximum AIC difference for inclusion in confidence set
数字包含在置信集,最大的AIC差异
Details
详细信息----------Details----------
Data are provided as spatial capture histories, but the spatial information (trapping locations) is ignored.
数据中所提供的空间捕获历史,但是该空间信息(诱捕位置)将被忽略。
AIC-based model selection is available for the maximum-likelihood estimators null, zippin, darroch, h2, and betabinomial.
AIC模型选择的最大似然估计null,zippin,darroch,h2和betabinomial。
Model weights are calculated as
模型的权重计算公式为
Models for which dAICc > dmax are given a weight of zero and are excluded from the summation, as are non-likelihood models.
模型dAICc>dmax给出权重为零,被排除的总和,作为非似然模型。
Computation of null, zippin and darroch estimates differs slightly from Otis et al. (1978) in that the likelihood is maximized over real values of N between Mt1 and maxN, whereas Otis et al. considered only integer values.
计算null,zippin和darroch估计略有不同,奥的斯等人。 (1978)的可能性最大,超过实际值之间Mt1和maxN,而奥的斯等人。只考虑整数值。
Asymmetric confidence intervals are obtained in the same way for all estimators, using a log transformation of Nhat-Mt1 following Burnham et al. (1987), Chao (1987) and Rexstad and Burnham (1991).
不对称置信区间,得到可用于所有估计量以相同的方式,使用对数变换的Nhat-Mt1以下伯纳姆等。 (1987年),诏(1987)和Rexstad和Burnham(1991)。
The available estimators are
可用的估计是
值----------Value----------
A dataframe with one row per estimator and columns
估计和列一列,每一个数据框
参数:model
model in the sense of Otis et al. 1978
在这个意义上,奥的斯等人的模型。 1978年
参数:npar
number of parameters estimated
估计的参数的数量
参数:loglik
maximized log likelihood
最大化对数似然
参数:AIC
Akaike's information criterion
赤池信息准则
参数:AICc
AIC with small-sample adjustment of Hurvich & Tsai (1989)
AIC小样本调整的Hurvich仔(1989年)
参数:dAICc
difference between AICc of this model and the one with smallest AICc
这种模式和国际会议中心的一个最小的国际会议中心之间的差异
参数:Mt1
number of distinct individuals caught
不同的个体数目抓住
参数:Nhat
estimate of population size
人口规模的估计
参数:seNhat
estimated standard error of Nhat
估计标准误差的新山一
参数:lclNhat
lower 100 x level % confidence limit
降低100×级别%置信限
参数:uclNhat
upper 100 x level % confidence limit
100×水平%置信区间
警告----------Warning----------
If your data are from spatial sampling (e.g. grid trapping) it is recommended that you do not use these methods to estimate population size (see Efford submitted). Instead, fit a spatial model and estimate population size with region.N.
如果您的数据是从空间采样(如电网捕获),建议您不要使用这些方法来估算人口规模(见Efford提交)。相反,适合的空间模型,并估计人口规模与region.N。
注意----------Note----------
Prof. Anne Chao generously allowed me to adapt her code for the variance of the "chao.th1" and "chao.th2" estimators.
赵教授安妮慷慨地允许我去适应她的“chao.th1和chao.th2”的估计方差代码。
Chao's estimators have been subject to various improvements not included here; please see Chao and Shen (2010) for details.
超的估计,这里不包括各种改进的详细信息,请参阅超,沉(2010)。
参考文献----------References----------
population when capture probabilities vary among animals. Biometrika 65, 625–633.
data with unequal catchability. Biometrics 43, 783–791.
Estimation). Program and User's Guide available online at http://chao.stat.nthu.edu.tw.
size of a closed population when capture rates vary among individuals. Biometrics 59, 351–364.
explicit capture–recapture.
selection in small samples. Biometrika 76, 297–307.
coverage for closed capture-recapture models. Biometrics 50, 88–97.
Statistical inference from capture data on closed animal populations. Wildlife Monographs 62, 1–135.
capture-recapture models using mixtures. Biometrics 56, 434–442.
CAPTURE. Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, Colorado, USA.
参见----------See Also----------
capthist, closure.test, region.N
capthist,closure.test,region.N
实例----------Examples----------
closedN(deermouse.ESG)
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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