The attached object contains an RMark-formatted data frame for open captures and recaptures on of males and females over 10 occasions, where occasions are 1 year apart (so significant recruitment or other gains, and mortality or other losses are assumed to occur). Interest is focused on estimation of abundance (N) for each sex (so you will want to be sure to include modeling of N by groups (i.e., sexes).
Use RMark and Jolly -Seber models to construct alternative models combinations including some with that take into account both time and group variation in recapture probability, survival, and recruitment, and group-specific variation in abundance (N)
Note: RMark sometimes has problems with initial values for the Jolly parameterization. I have found that first running a model without group effects for N and then taking that model for initial values for a second, group-specific model, works, e.g.,
js.mod1=mark(js.data,model="Jolly",groups=c("sex"),model.parameters=list(N=Ng),initial=js.mod0)
js.mod2=mark(js.data,model="Jolly",groups=c("sex"),model.parameters=list(N=Ng,Phi=Phi.sex,Lambda=Lambda.sex),initial=js.mod0)
Compute model-averaged estimates of area-specific abundance, recruitment, and survival
Repeat this analysis under the POPAN superpopulation model and the Pradel temporal symmetry model
Optional: repeat the above analyses in the MARK GUI (suggestion: use the export.MARK function to facilitate this step)