Package: gender 0.6.0

gender: Predict Gender from Names Using Historical Data

Infers state-recorded gender categories from first names and dates of birth using historical datasets. By using these datasets instead of lists of male and female names, this package is able to more accurately infer the gender of a name, and it is able to report the probability that a name was male or female. GUIDELINES: This method must be used cautiously and responsibly. Please be sure to see the guidelines and warnings about usage in the 'README' or the package documentation. See Blevins and Mullen (2015) <http://www.digitalhumanities.org/dhq/vol/9/3/000223/000223.html>.

Authors:Lincoln Mullen [aut, cre], Cameron Blevins [ctb], Ben Schmidt [ctb]

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gender.pdf |gender.html
gender/json (API)
NEWS

# Install gender in R:
install.packages('gender', repos = c('https://lmullen.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/lmullen/gender/issues

On CRAN:

3 exports 186 stars 5.63 score 24 dependencies 12 dependents 2.0k downloads

Last updated 3 years agofrom:38a27932919a6bd7d3e3bfb215724a5b6ddc1938

Exports:check_genderdata_packagegenderinstall_genderdata_package

Dependencies:askpassclicurldplyrfansigenericsgluehttrjsonlitelifecyclemagrittrmimeopensslpillarpkgconfigR6remotesrlangsystibbletidyselectutf8vctrswithr

Predicting Gender Using Historical Data

Rendered frompredicting-gender.Rmdusingknitr::rmarkdownon Jun 05 2024.

Last update: 2021-10-08
Started: 2014-08-26