I am using R
and Amelia
to impute missing data for the number of homeless children in several locations. There is information about the TOTAL number of homeless children across all locations, but many individual location stats are not available. Can I create a “constraint” in my imputation model that ensures that the resulting/imputed total of the distribution is not greater than the known total.
Also, recommendations on what imputation primer to read are welcome!