Encodes gender based on 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 guess the gender of a name, and it is able to report the probability that a name was male or female.

Documentation

Manual: gender.pdf
Vignette: Predicting Gender Using Historical Data

Maintainer: Lincoln Mullen <lincoln at lincolnmullen.com>

Author(s): Lincoln Mullen*, Cameron Blevins*, Ben Schmidt*

Install package and any missing dependencies by running this line in your R console:

install.packages("gender")

Depends R (>= 3.0.0), utils, stats
Imports dplyr(>=0.4.2), httr(>=1.0.0), jsonlite(>=0.9.16)
Suggests genderdata (>= 0.5.0), ggplot2(>=1.0.0), knitr(>=1.11), testthat(>=0.10.0)
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Package gender
Materials
URL https://github.com/ropensci/gender
Task Views
Version 0.5.1
Published 2016-12-05
License MIT + file LICENSE
BugReports https://github.com/ropensci/gender/issues
SystemRequirements
NeedsCompilation no
Citation
CRAN checks gender check results
Package source gender_0.5.1.tar.gz