Utilizes the 'genderize.io' Application Programming Interface to predict gender from first names extracted from a text vector. The accuracy of prediction could be controlled by two parameters: counts of a first name in the database and probability of prediction.

Documentation

Manual: genderizeR.pdf
Vignette: Introduction to genderizeR - tutorial

Maintainer: Kamil Wais <kamil.wais at gmail.com>

Author(s): Kamil Wais*, Nathan VanHoudnos*, John Ramey*

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

install.packages("genderizeR")

Depends R (>= 3.3.0)
Imports stringr(>=1.0.0), httr(>=1.1.0), tm(>=0.6-2), data.table(>=1.9.6), magrittr, parallel (>= 3.3.0), utils
Suggests testthat, knitr, rmarkdown
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Package genderizeR
Materials
URL https://github.com/kalimu/genderizeR http://www.wais.kamil.rzeszow.pl/genderizeR
Task Views WebTechnologies
Version 2.0.0
Published 2016-05-11
License MIT + file LICENSE
BugReports https://github.com/kalimu/genderizeR
SystemRequirements
NeedsCompilation no
Citation
CRAN checks genderizeR check results
Package source genderizeR_2.0.0.tar.gz