I recently posted in the MARK forum about scaling time intervals and received some great advice on how to scale them appropriately.
So, in a nutshell, take your monthly estimates, have MARK export them to a spreadsheet, derive the annual estimate simply as the product of the monthly estimates in that year, and then use the Delta method (or some other approach) to estimate the variance of the annual estimate.
I was then reading the rmark workshop notes and on page 43 it says about modifying the design data to run models with different time intervals
My occasions are monthly and I can t a time model but what I really want to t is a seasonal or annual model. How do I do that with RMark? The answer is to create a new eld in the design data that puts the parameters into appropriate bins (intervals).
My question is should I scale time intervals and then use the delta method or modify the .ddl? If I modify the .ddl do I need to use appropriately scaled time.intervals aswell?
I have monthly capture histories and want an annual overview of survival.
Cheers,
Tom