Hello list.
I have a query that may be quite elementary, but I am having trouble working it out.
I have a long time series (30 years) of mark recapture data on >5000 individuals. I used RELEASE on the CJS model and identifeid a transient effect (i.e. there was a different survival probability for the year after marking than in subsequent years, most likley due to non-resident inidivuals moving through the survey area). As a result, I introduced a time since mark effect into the model of survival, to allow this transience to be accounted for in the model structure.
Now I am stuck....... I want to check the goodness of fit for my new and improved CJS model with the transient effect (as I want to ensure that by including the transient effect I have dealt with the lack of fit). Is there a way to do this? When I run the CJS with transient effect model through RELEASE in MARK, I still get highly significant results for test 3. Do the RELEASE tests only test against the standard CJS assumptions? Or do they take account of the parameterisation of the model object that they are being run on?
If it is not appropriate/possible to use RELEASE to check GoF for my updated transient (i.e.non standard) CJS model - then how can I do it? Do I just need to use the median-c/bootstrap tests to estimate c-hat and then correct for any overdispersion without actually being able to identfy it's source?
Thanks in advance for your help!
Alice