Hi,
I have an unusual system in which we have long-term environmental data collections (independents) for a system in which we culminate with sequential observations on individuals: so, say a month of environmental variables being collected, with observations on individuals at the end of that month, repeated for the same groups within a given array of groups over several months.
The dependent data array is too sparse for something AUTOREG, so I was hoping someone else could suggest a procedure that would handle longer-term high-density (daywise) independent variables affecting dependents collected monthly. Some kind of survival model maybe? Happy to provide more information.
G
