A survey of software for fitting capture-recapture models

被引:5
|
作者
Bunge, John A. [1 ]
机构
[1] Cornell Univ, Dept Stat Sci, Ithaca, NY 14850 USA
关键词
animal abundance; public health; mixture model; population size;
D O I
10.1002/wics.1250
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Capture-recapture analysis, also called mark-or multiple-recapture, is aimed primarily at estimating the total size of a population. The population of interest may consist of animals, people, errors in complex software, the number of crimes committed by an oppressive political regime, coins struck by ancient dies, and so on. Statistical methods for population size estimation are well-developed, with many extensions and variations such as allowing for birth, death or migration in the population; incorporation of predictor variables or spatial location of captures; observation by different physical methods, and so on. Accordingly, many software programs have been written and disseminated to implement these analyses, and a survey of those programs is given here. We classify the programs based on three different perspectives: types of classical closed-population models, statistical foundations or philosophy, and extensions or variations of classical models. While the level of computing in this area has become quite sophisticated, especially for the extended models, none of the major statistical software packages has a 'native' capture-recapture sub-package or routine (although some workarounds are possible), and the large number of separately released programs, though effective within their domains, tend to lack standardization and interoperability at present. The applied scientist can be reasonably confident of finding a program to fit his/her needs, but some examination of the literature will be required. (C) 2013 Wiley Periodicals, Inc.
引用
收藏
页码:114 / 120
页数:7
相关论文
共 50 条
  • [41] AN ANALYSIS OF 2 METHODS OF FITTING THE VONBERTALANFFY CURVE TO CAPTURE-RECAPTURE DATA
    MALLER, RA
    DEBOER, ES
    AUSTRALIAN JOURNAL OF MARINE AND FRESHWATER RESEARCH, 1988, 39 (04): : 459 - 466
  • [42] MULTISTATE CAPTURE-RECAPTURE MODELS FOR IRREGULARLY SAMPLED DATA
    Mews, Sina
    Langrock, Roland
    King, Ruth
    Quick, Nicola
    ANNALS OF APPLIED STATISTICS, 2022, 16 (02): : 982 - 998
  • [43] Breeding Return Times and Abundance in Capture-Recapture Models
    Pledger, Shirley
    Baker, Edward
    Scribner, Kim
    BIOMETRICS, 2013, 69 (04) : 991 - 1001
  • [44] Autoregressive models for capture-recapture data: A Bayesian approach
    Johnson, DS
    Hoeting, JA
    BIOMETRICS, 2003, 59 (02) : 341 - 350
  • [45] Spatial capture-recapture for categorically marked populations with an application to genetic capture-recapture
    Augustine, Ben C.
    Royle, J. Andrew
    Murphy, Sean M.
    Chandler, Richard B.
    Cox, John J.
    Kelly, Marcella J.
    ECOSPHERE, 2019, 10 (04):
  • [46] Bayesian model selection for spatial capture-recapture models
    Dey, Soumen
    Delampady, Mohan
    Gopalaswamy, Arjun M.
    ECOLOGY AND EVOLUTION, 2019, 9 (20): : 11569 - 11583
  • [47] On the use of the robust design with transient capture-recapture models
    Hines, JE
    Kendall, WL
    Nichols, JD
    AUK, 2003, 120 (04): : 1151 - 1158
  • [48] Random effects and shrinkage estimation in capture-recapture models
    Royle, JA
    Link, WA
    JOURNAL OF APPLIED STATISTICS, 2002, 29 (1-4) : 329 - 351
  • [49] Capture-recapture survival models taking account of transients
    Pradel, R
    Hines, JE
    Lebreton, JD
    Nichols, JD
    BIOMETRICS, 1997, 53 (01) : 60 - 72
  • [50] Software Review: A program for testing capture-recapture data for closure
    Stanley, TR
    Richard, JD
    WILDLIFE SOCIETY BULLETIN, 2005, 33 (02): : 782 - 785