Dear All
I have been searching for previous discussions on this topic for a couple of days, but could not find a solution to my problem, so I decided to post as a new topic.
I am using a multistate model in RMark to calculate a tradeoff bewtween survival and reproduction, associated with a covariate (forearm length, proxy for body size) in bats. I have found no differences in apparent survival between strata (N - non breeder, B - breeder). I have predicted real values and 95% CI of S and Psi(N-B) for the observed range of the covariate. I would also like to calculate these for the transition phi = S*Psi(N-B).
In the Mark book chapter 10, there is mention to the possibility to calculate a standard error for phi using the Delta method, referring to Appendix B. I was able to calculate the phi standard error in probability scale with the output of covariate.predictions(), using deltamethod.special(), and assuming S and Psi(N-B) were independent. However, to estimate the phi confidence limits I would need to estimate the standard error in logit scale. I am sure I am probably approaching the problem from the wrong way, but could not find a similar problem discussed online.
Thank you for your time. I really appreciate any help that I can get.
Leandro