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gender  

Predict Gender from Names Using Historical Data
View on CRAN: Click here


Download and install gender package within the R console
Install from CRAN:
install.packages("gender")

Install from Github:
library("remotes")
install_github("cran/gender")

Install by package version:
library("remotes")
install_version("gender", "0.6.0")



Attach the package and use:
library("gender")
Maintained by
Lincoln Mullen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-09-29
Latest Update: 2021-10-13
Description:
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) .
How to cite:
Lincoln Mullen (2014). gender: Predict Gender from Names Using Historical Data. R package version 0.6.0, https://cran.r-project.org/web/packages/gender. Accessed 06 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:41), 0.4.1 (2014-09-29 23:04), 0.4.2 (2014-12-03 17:16), 0.4.3 (2014-12-24 01:48), 0.5.0 (2015-08-22 10:50), 0.5.1 (2016-12-05 18:28), 0.5.2 (2018-03-07 22:17), 0.5.3 (2019-11-09 06:30), 0.5.4 (2020-05-15 11:10)
Other packages that cited gender R package
View gender citation profile
Other R packages that gender depends, imports, suggests or enhances
Complete documentation for gender
Functions, R codes and Examples using the gender R package
Some associated functions: check_genderdata_package . gender-package . gender . install_genderdata_package . 
Some associated R codes: gender-demo.R . gender-genderize.R . gender-ipums-usa.R . gender-kantrowitz.R . gender-napp.R . gender-ssa.R . gender.R . install-genderdata-package.R .  Full gender package functions and examples
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