Abstract
Hierarchical mark-recapture models offer three advantages over classical mark-recapture models: (i) they allow expression of complicated models in terms of simple components; (ii) they provide a convenient way of modeling missing data and latent variables in a way that allows expression of relationships involving latent variables in the model; (iii) they provide a convenient way of introducing parsimony into models involving many nuisance parameters. Expressing models using the complete data likelihood we show how many of the standard mark-recapture models for open populations can be readily fitted using the software WinBUGS. We include examples that illustrate fitting the Cormack–Jolly–Seber model, multi-state and multi-event models, models including auxiliary data, and models including density dependence.
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Schofield, M.R., Barker, R.J. & MacKenzie, D.I. Flexible hierarchical mark-recapture modeling for open populations using WinBUGS. Environ Ecol Stat 16, 369–387 (2009). https://doi.org/10.1007/s10651-007-0069-1
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DOI: https://doi.org/10.1007/s10651-007-0069-1