BaSTA: an R package for Bayesian estimation of age-specific survival from incomplete mark-recapture/recovery data with covariates
BaSTA: an R package for Bayesian estimation of age-specific survival from incomplete mark-recapture/recovery data with covariates
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DOI：
10.1111/j.2041-210x.2012.00186.x
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发表时间：
2012-06-01
影响因子：
6.6
通讯作者：
Rebke, Maren
中科院分区：
文献类型：
--
作者：
Colchero, Fernando;Jones, Owen R.;Rebke, Maren
1.了解野生动物种群的年龄特异性生存对于种群动态研究至关重要，因此是包括进化，管理和保护在内的几个领域的重要组成部分。2.我们提出了贝叶斯生存轨迹分析（BaSTA），一个免费的开源软件包，用于估计特定年龄的生存捕获/恢复数据下的贝叶斯框架。3.该方法处理低重捕获概率、未知年龄（例如，由于左截断）和未知死亡年龄（例如，由于右删失）。它估计生存和检测参数以及未知的出生和死亡时间（即潜在状态），同时允许用户测试一系列生存模型。此外，可以评估连续或分类协变量的影响。4.该工具有助于分析长期动物研究中的生存年龄模式，并使研究人员能够稳健地推断协变量的影响，即使有大量的缺失数据。
1. Understanding age-specific survival in wild animal populations is crucial to the study of population dynamics and is therefore an essential component of several fields including evolution, management and conservation. 2. We present Bayesian survival trajectory analysis (BaSTA), a free open-source software package for estimating age-specific survival from capturerecapture/recovery data under a Bayesian framework. 3. The method copes with low recapture probabilities, unknown ages (e.g. because of left-truncation) and unknown ages at death (e.g. because of right-censoring). It estimates survival and detection parameters as well as the unknown birth and death times (i.e. latent states) while allowing users to test a range of survival models. In addition, the effect of continuous or categorical covariates can be evaluated. 4. This tool facilitates the analysis of age patterns of survival in long-term animal studies and will enable researchers to robustly infer the effect of covariates, even with large amounts of missing data.