genderizeR: Gender Prediction Based on First Names

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.

Version: 2.0.0
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
Published: 2016-05-11
Author: Kamil Wais [aut, cre], Nathan VanHoudnos [ctb], John Ramey [ctb]
Maintainer: Kamil Wais <kamil.wais at gmail.com>
BugReports: https://github.com/kalimu/genderizeR
License: MIT + file LICENSE
URL: https://github.com/kalimu/genderizeR, http://www.wais.kamil.rzeszow.pl/genderizeR
NeedsCompilation: no
Materials: README NEWS
In views: WebTechnologies
CRAN checks: genderizeR results

Downloads:

Reference manual: genderizeR.pdf
Vignettes: Introduction to genderizeR - tutorial
Package source: genderizeR_2.0.0.tar.gz
Windows binaries: r-devel: genderizeR_2.0.0.zip, r-release: genderizeR_2.0.0.zip, r-oldrel: genderizeR_2.0.0.zip
OS X El Capitan binaries: r-release: genderizeR_2.0.0.tgz
OS X Mavericks binaries: r-oldrel: genderizeR_2.0.0.tgz
Old sources: genderizeR archive

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