wru: Who Are You? Bayesian Prediction of Racial Category Using Surname and Geolocation

This open-source software package enables researchers to predict individual ethnicity using his/her surname, geolocation, and other attributes such as gender and age. The method utilizes the Bayes' rule to compute the posterior probability of each racial category for any given individual voter. The package implements methods described in Imai and Khanna (2015) "Improving Ecological Inference by Predicting Individual Ethnicity from Voter Registration Records" <doi:10.1093/pan/mpw001>.

Version: 0.1-1
Depends: R (≥ 3.2.0), utils
Imports: devtools (≥ 1.10.0)
Published: 2016-12-13
Author: Kabir Khanna [aut, cre], Kosuke Imai [aut, cre]
Maintainer: Kabir Khanna <kkhanna at princeton.edu>
BugReports: https://github.com/kosukeimai/wru/issues
License: GPL (≥ 3)
URL: https://github.com/kosukeimai/wru
NeedsCompilation: no
Materials: README ChangeLog
CRAN checks: wru results


Reference manual: wru.pdf
Package source: wru_0.1-1.tar.gz
Windows binaries: r-devel: wru_0.1-1.zip, r-release: wru_0.1-1.zip, r-oldrel: wru_0.1-1.zip
OS X Mavericks binaries: r-release: wru_0.1-1.tgz, r-oldrel: wru_0.1-1.tgz
Old sources: wru archive


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