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: 3.0.0
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: 2024-02-16
Author: Kabir Khanna [aut], Brandon Bertelsen [aut, cre], Santiago Olivella [aut], Evan Rosenman [aut], Alex 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:

Reference manual: wru.pdf

Downloads:

Package source: wru_3.0.0.tar.gz
Windows binaries: r-devel: wru_3.0.0.zip, r-release: wru_3.0.0.zip, r-oldrel: wru_3.0.0.zip
macOS binaries: r-release (arm64): wru_3.0.0.tgz, r-oldrel (arm64): wru_3.0.0.tgz, r-release (x86_64): wru_3.0.0.tgz
Old sources: wru archive

Reverse dependencies:

Reverse depends: eiCompare

Linking:

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