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chore: use_tidy_description()
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rossellhayes committed Nov 15, 2023
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57 changes: 31 additions & 26 deletions DESCRIPTION
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Package: wru
Title: Who are You? Bayesian Prediction of Racial Category Using Surname,
First Name, Middle Name, and Geolocation
Version: 2.0.0
Date: 2023-07-12
Title: Who are You? Bayesian Prediction of Racial Category Using Surname, First Name, Middle Name, and
Geolocation
Authors@R: c(
person("Kabir", "Khanna", email = "[email protected]", role = c("aut")),
person("Brandon", "Bertelsen", email = "[email protected]", role = c("aut","cre")),
person("Santiago", "Olivella", email = "[email protected]", role = c("aut")),
person("Evan", "Rosenman", email = "[email protected]", role = c("aut")),
person("Kosuke", "Imai", email = "[email protected]", role = c("aut"))
person("Kabir", "Khanna", , "[email protected]", role = "aut"),
person("Brandon", "Bertelsen", , "[email protected]", role = c("aut", "cre")),
person("Santiago", "Olivella", , "[email protected]", role = "aut"),
person("Evan", "Rosenman", , "[email protected]", role = "aut"),
person("Kosuke", "Imai", , "[email protected]", role = "aut")
)
Description: 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>.
Description: 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>.
License: GPL (>= 3)
URL: https://github.com/kosukeimai/wru
BugReports: https://github.com/kosukeimai/wru/issues
Depends:
Expand All @@ -28,21 +34,20 @@ Imports:
dplyr,
furrr,
future,
piggyback (>= 0.1.4),
PL94171,
purrr,
Rcpp,
piggyback (>= 0.1.4),
PL94171
Rcpp
Suggests:
testthat (>= 3.0.0),
covr
covr,
testthat (>= 3.0.0)
LinkingTo:
Rcpp,
RcppArmadillo
LazyLoad: yes
Config/testthat/edition: 3
Encoding: UTF-8
LazyData: yes
LazyDataCompression: xz
License: GPL (>= 3)
RoxygenNote: 7.2.3
Encoding: UTF-8
Config/testthat/edition: 3
LazyLoad: yes
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3

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