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>.

Package details

AuthorLincoln Mullen [aut, cre] (<https://orcid.org/0000-0001-5103-6917>), Cameron Blevins [ctb], Ben Schmidt [ctb]
MaintainerLincoln Mullen <lincoln@lincolnmullen.com>
LicenseMIT + file LICENSE
Version0.6.0
URL https://github.com/lmullen/gender
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("gender")

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gender documentation built on Oct. 13, 2021, 5:08 p.m.