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>.
| Version: |
1.0.0 |
| Depends: |
R (≥ 4.1.0), utils |
| Imports: |
dplyr, future, furrr, purrr, Rcpp, piggyback, PL94171 |
| LinkingTo: |
Rcpp, RcppArmadillo |
| Suggests: |
testthat (≥ 3.0.0), covr |
| Published: |
2022-06-21 |
| Author: |
Kabir Khanna [aut],
Brandon Bertelsen [aut, cre],
Santiago Olivella [aut],
Evan Rosenman [aut],
Kosuke Imai [aut] |
| Maintainer: |
Brandon Bertelsen <brandon at bertelsen.ca> |
| BugReports: |
https://github.com/kosukeimai/wru/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://github.com/kosukeimai/wru |
| NeedsCompilation: |
yes |
| Materials: |
README |
| CRAN checks: |
wru results |
Documentation:
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