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> and 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>. The package also incorporates the data
described in Rosenman, Olivella, and Imai (2023) "Race and ethnicity
data for first, middle, and surnames"
<doi:10.1038/s41597-023-02202-2>.
Version: |
3.0.3 |
Depends: |
R (≥ 4.1.0), utils |
Imports: |
cli, dplyr, tidyr, furrr, future, piggyback (≥ 0.1.4), PL94171, purrr, Rcpp, rlang |
LinkingTo: |
Rcpp, RcppArmadillo |
Suggests: |
covr, testthat (≥ 3.0.0), tidycensus |
Published: |
2024-05-24 |
DOI: |
10.32614/CRAN.package.wru |
Author: |
Kabir Khanna [aut],
Brandon Bertelsen [aut, cre],
Santiago Olivella [aut],
Evan Rosenman [aut],
Alexander Rossell Hayes [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:
Downloads:
Reverse dependencies:
Linking:
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