Smoothed occupancy trajectory for finite sample

[zwallace]

Hi All,

I am using robust design occupancy models in a situation where I am interested in trends in the proportion of occupied sites for a finite sample. Does anyone have experience using the finite-sample trajectory estimator of Weir et al. (2009) with output from MARK? This option is available in function colext in package unmarked in R. However, I need the flexibility of MARK to set equality constraints for survey-specific detection probabilities due to a removal sampling design.

I know this is not a standard feature in MARK, but I am wondering if you have considered adding it, or if anyone has written code to estimate smoothed trajectories for finite samples using MARK output. I understand these smoothing-based estimators can be substantially more precise in situations, like mine, where inference is limited to sampled sites.

Thanks!
Zach