Dear all,
This might be a naive question, but is there a way to predict derived occupancy in a multi-season model for un-sampled units using RPresence?
For single season models, I typically use: predict(top.model, newdata=Data1, param="psi"), but am unable to find a way to predict derived psi from multi-season models. I believe one round-about solution would be that of including un-sampled units with no data in the pao along with covariates before the analysis. However will be grateful if there is an easier way to get this done.
Thanks much,
Koustubh