Machine Learning Voting Right Act Tests
Centernoid X-Symetry
Uses weighted centernoid and K-Mean Clustering to determin the compactness of a district by mesuring the distance from Geographic Center and Boundry
weighted_centroind(df, District_ID, GEOID='GEOID20', Population='POP100', Lat='INTPTLAT20', Lon='INTPTLON20', dist_geo='geometry')
kmean_xSymetry(df, district_id, pop, lat, lon, geoid, district_geometry)
Ecological Inference
Uses Elecologic Ingernce Model from King 1999 using a default covariate as target vote share and lmbda as 0.5 to match what was writen in King's Paper
ecological_inference(Total_Population_Col, Target_Population_Col,
Target_Vote_Share_Percentage, covariate=None, lmbda=0.5)
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Release files for MLVRAtests 0.1.0
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