- Is it still the preferred method for calculating a mean and SE parameter estimate for a time varying covariate?
- Is this possible to implement in RMark?
- If not, what is the alternative? Booting up MARK's GUI or a different formulation coded in R?
I get the feeling "read about delta method" might be an the answer here. Does it calculate the same SE value? From the 2001 paper:
This SE provides the sampling variation of the estimate of the mean and does not include the process variance associated with the set of estimates. That is,this SE represents a fixed effects design, with the SE providing the precision of the mean for the observed time period.
I've asked this in the RMark forum because that's my preferred solution if several solutions are available.
(1) White, GARY C., KENNETH P. Burnham, and DAVID R. Anderson. "Advanced features of program MARK." Wildlife, land, and people: priorities for the 21st century. Proceedings of the second international wildlife management congress. The Wildlife Society, Bethesda, Maryland, USA. 2001.