This contains R code to estimate abundance using the Cormack-Jolly-Seber (CJS) model. I use RMark because everything can be done in R, and it's cool for reproducible research.
I consider simple CJS models and models with transience. In passing, I also fit models with heterogeneity in the detection process using i) individual random effect and ii) with finite mixtures. The bootstrap is used to obtain confidence intervals. Multi-model inference is also illustrated using bootstrap to perform model selection.
- In the section with heterogeneity, check the calculations for
bigU
andbigM
and make them generic. - add Jolly-Seber as in Karamanlidis et al. (2015).
- add robust-design as in papers currently in reviews (including model selection with bootstrap).