Hi Folks,
I'm working with a data set based on nested sampling. Each site contains many discrete "plots", and each plot was surveyed multiple times. We expect plots within sites to be correlated/dependent biologically. For now, I am interested in retaining plot level encounter histories rather than collapsing all information to the site level.
Are there models implemented in RMark to account for this correlated structure? In particular, I've been reading about the multi-method model (Nichols et al. 2008. J. Applied Ecology) and models for clustered sampling (Hines et al. 2010. Eco Apps). "Occupancy with correlated detections" in on the MarkModels list, although it is not currently implemented. Perhaps I am missing (or misinterpreting) another occupancy model on the list that would do the job?
I realize these models are available in PRESENCE, but would prefer to work in RMark if possible.
Thanks!
Joe