Huggins CC, Pre-defined models

[Bowieknife50]

All-

I'm trying to run Huggins closed capture analyses to get density estimates for mice in fragmented forest patches. I have 60 sites that were each pre-baited 1 night and then trapped for 5 consecutive nights (but not all of the sites were trapped on the same week). Since many of the sites have very small numbers of captures and recaptures, I decided to run the analysis as one single file, with each of the sites set up as a separate group in the input file. I've run into a couple problems, however. When I try to set up a full design matrix, mark crashes (I think this may be due to the size of my input file: ~1200 animals classed into 60 groups). My next problems arise when I try to run the pre-defined models. Some of the models, e.g. p(t)c(t) or p(g*t)c(g) and others, come up with standard errors for the derived population estimates ranging from all zero to some up into the thousands. Does anybody know of any problems with using pre-defined models for a dataset of this type, or do you think it's simply the structure of my data that is causing these questionable estimates? I'm going to try to paste a portion of my input file into this message, although I'm not sure how it will turn out.



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