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Hi Murray

I would like to try and model average the "D", "g0" and "sigma" parameters for one of my datasets. I had a look through the forum but the posts regarding model averaging were quite old and didn't seem to answer the question, so just wondering if anything has changed in recent years.

If I use the script:

modelaverage(secrmodel1, secrmodel2)

then I just get the g0 and sigma values and not D, but in the help files it seems that you should be able to get D as well.

So if I then use the following script:

modelaverage(secrmodel1, secrmodel2, realnames = c("D","g0","sigma")) then I get an error message stating that the "requested parameters not found in all models, or models incompatible".

What am I doing wrong and is it possible to get model averaged estimates of "D"?

Thanks for your help (again!)

All the best

Kerry

Hi Kerry
Sorry I didn't notice your message before - it got obscured by a later one.

I don't model average much myself, so I would have to play with this; all the best advice is in the MARK and Presence subforums of phidot. I assume you meant model.average not modelaverage. Is density a parameter in your model? It won't be if you set CL = TRUE - which is my guess. Averaging of derived density from 'secr' has to be done by hand, but it's not hard and quite instructive.
Murray