Journal
JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS
Volume 16, Issue 2, Pages 253-268Publisher
SPRINGER
DOI: 10.1007/s13253-010-0052-4
Keywords
Capture-recapture; Demographic parameters; Hierarchical modeling; Individual covariates; JAGS/BUGS
Funding
- NSF [ATM-0934516]
- Directorate For Geosciences
- Div Atmospheric & Geospace Sciences [0934516] Funding Source: National Science Foundation
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Traditional analyses of capture-recapture data are based on likelihood functions that explicitly integrate out all missing data. We use a complete data likelihood (CDL) to show how a wide range of capture-recapture models can be easily fitted using readily available software JAGS/BUGS even when there are individual-specific time-varying covariates. The models we describe extend those that condition on first capture to include abundance parameters, or parameters related to abundance, such as population size, birth rates or lifetime. The use of a CDL means that any missing data, including uncertain individual covariates, can be included in models without the need for customized likelihood functions. This approach also facilitates modeling processes of demographic interest rather than the complexities caused by non-ignorable missing data. We illustrate using two examples, (i) open population modeling in the presence of a censored time-varying individual covariate in a full robust design, and (ii) full open population multi-state modeling in the presence of a partially observed categorical variable. Supplemental materials for this article are available online.
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