Quoting directly from MARK help under Robust Design Multi-State Model:
The second sentence of the middle paragraph reads:
"The robust-design multi-state model with live and dead recoveries uses the information from dead encounters, so requires the LDLDLD... encounter history format."
How are these models implemented in MARK? I can't find an option for this when starting a new analysis.
I have seen some posts suggesting "coericing" a multi-state model to a robust design. Is this by creating a "Dead" state to include the dead recoveries (and fixing appropriate transitions)?
I have a long-term data set on white sturgeon including agency stock assessments and tag return data from commecial and sport fisheries. I would like to be able to use all available information to estimate survival (or apparent survival) for three life history "states" based on size. I have built multi-state models with live and dead recoveries, but would like to include the closed sampling periods in a robust design to refine estimates of p.
Any suggestions would be greatly appreciated!