The clear strength of RMark is in being able to rapidly construct and compare many models and extract output for further analysis.
I was wondering what is the difference between an object created by returning the result of mark.wrapper() on a list of models specified within a function and the object created by running collect.models after each model is run separately?
Appendix C shows many operations using the object created by collect.models() and I would like to do the equivalent on the object created by my function which returns the results of mark.wrapper on a model list.
For example:
dipper.cjs.results=remove.mark(dipper.cjs.results, c(11,12)
works to remove models from a collect.models object but not an object returned by mark.wrapper() on a model list inside a function.
Perhaps another way of asking this question is how to I make the object returned by a function fitting many models equivalent in structure to an object created by collect.models()?