geoSIMEX R Package

In R, open "Example/geoSIMEX_example.R"

In R, open "man/geoSIMEX.Rd" and click "preview"

1. geoSIMEX - linear regression with spatial uncertainty
2. expected_aid_ROI - calculates expected aid with in ROI
3. prob_aid_ROI - calculates probability of aid allocated to ROI
4. calc_lambda - calculates spatial uncertainty of aid project dataset

geoSIMEX requires two datasets: (1) aid project data, and (2) country-level data (where the unit of analysis could be, for example, sub-counties). Both the aid finance and country-level data need to have hierarchies of administrative divisions. For example, in the aid finance data, if aid was allocated to a sub-county, information is needed about which district, region, and country that sub-county falls within. In country-level data, variables are needed for the sub-county, district, region and country. Names of these variables must be the same between the two datasets (e.g., if "ADM_3_NAME" is the variable name for sub counties in the country-level dataset, there must be a similar "ADM_3_NAME" in the aid project dataset.

1. geoSIMEX needs ADM names to be entered as numbers; need to allow ADM info to be entered as strings
2. In expected_aid_ROI function, make inputs to "probAidAssume" and "dollar_set" be strings of variable names instead of arrays of data. This will make inputs consistent with inputs for geoSIMEX function.