gender: Gender: predict gender from names using historical data

Encodes gender based on names and dates of birth, using either the Social Security Administration's data set of first names by year of birth or Census Bureau data from 1789 to 1940, both from the United States of America. By using these data sets 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.

Version: 0.4.1
Depends: R (≥ 3.0.0), utils, stats
Imports: devtools (≥ 1.5), dplyr (≥ 0.2), httr (≥ 0.4), jsonlite (≥ 0.9.10)
Suggests: ggplot2, knitr, magrittr, testthat
Published: 2014-09-29
Author: Lincoln Mullen [aut, cre], Cameron Blevins [ctb], Ben Schmidt [ctb]
Maintainer: Lincoln Mullen <lincoln at lincolnmullen.com>
BugReports: https://github.com/ropensci/gender/issues
License: MIT + file LICENSE
URL: https://github.com/ropensci/gender
NeedsCompilation: no
Citation: gender citation info
Materials: README NEWS
CRAN checks: gender results

Downloads:

Reference manual: gender.pdf
Vignettes: Predicting gender using historical data
Package source: gender_0.4.1.tar.gz
Windows binaries: r-devel: gender_0.4.1.zip, r-release: gender_0.4.1.zip, r-oldrel: gender_0.4.1.zip
OS X Snow Leopard binaries: r-release: gender_0.4.1.tgz, r-oldrel: gender_0.4.1.tgz
OS X Mavericks binaries: r-release: gender_0.4.1.tgz

Reverse dependencies:

Reverse imports: qdap