Package: wru 4.0.0

wru: Who are You? Bayesian Prediction of Racial Category Using Surname, First Name, Middle Name, and Geolocation

Predicts individual race/ethnicity using surname, first name, middle name, geolocation, and other attributes, such as gender and age. The method utilizes Bayes' Rule (with optional measurement error correction) to compute the posterior probability of each racial category for any given individual. The package implements methods described in Imai and Khanna (2016) "Improving Ecological Inference by Predicting Individual Ethnicity from Voter Registration Records" Political Analysis <doi:10.1093/pan/mpw001>, Imai, Olivella, and Rosenman (2022) "Addressing census data problems in race imputation via fully Bayesian Improved Surname Geocoding and name supplements" <doi:10.1126/sciadv.adc9824>, Dasanaike and Imai (2026) "Using Embedding Models to Improve Probabilistic Race Prediction"

Authors:Kabir Khanna [aut], Brandon Bertelsen [aut, cre], Santiago Olivella [aut], Evan Rosenman [aut], Alexander Rossell Hayes [aut], Kosuke Imai [aut], Noah Dasanaike [aut]