My research question involves looking at association between the characteristics of neighborhoods (% male, % female, income, % young people, % old people) and the participation rate in a programme (% -continuous).
The participation rate for each neighborhood is measured every year, and also the characteristics of neighborhoods change every year too (people in and out, are born and died, income changes) -> Repeated measurements.
At the same time, the neighborhoods are within provinces, cities and are believed to share some similarities -> I also have clustering in my data.
Could you please give me suggestions on which regression model to use in this case with both repeated measurements and clustering for continuous outcome? And if possible, which R command to use and what I need to specify in the arguments in R command to show the repeated measurements and clustering being taken into account.