model averaging with individual covariates

[ked]

Hi all,
I am trying to calculate model-averaged survival estimates that incorporate individual covariates. Survival varies with weight and fledge date, and the mean weight and fledge date vary year to year. I would like to plot the annual survival estimates resulting from this variation in the individual covariates, but because model.average.marklist defaults to using the overall mean weight and fledge date (across years), the annual estimates are all virtually the same.

Is there a way to specify in model.average.marklist (or somewhere else) that it use the annual mean values to calculate model-averaged survival for each year? I noticed the "data= " specification, which refers to individual covariates, but I'm unclear as to whether that's what I want to use, or how to use it.

I can also just calculate the annual values myself (using the Delta method!), but my ultimate need is actually to calculate the cumulative survival over several fledgling stages within each year... and I'm getting stuck on doing the Delta method on estimates generated from the Delta method. But that's for another post...

Thanks for reading, and I appreciate any ideas!

[jlaake]

See ?covariate.predictions It will model average and allow different sets of covariate values. --jeff

[ked]

Perfect. Not sure how I missed that... thanks!