Utilizes the 'genderize.io' API 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: | 1.2.0 |
| Depends: | R (≥ 3.1.1) |
| Imports: | stringr, httr, tm, data.table, magrittr, parallel, utils |
| Suggests: | testthat |
| Published: | 2015-07-05 |
| Author: | Kamil Wais [aut, cre] |
| 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 |
| Reference manual: | genderizeR.pdf |
| Package source: | genderizeR_1.2.0.tar.gz |
| Windows binaries: | r-devel: genderizeR_1.2.0.zip, r-release: genderizeR_1.2.0.zip, r-oldrel: genderizeR_1.2.0.zip |
| OS X Snow Leopard binaries: | r-release: genderizeR_1.2.0.tgz, r-oldrel: genderizeR_1.1.0.tgz |
| OS X Mavericks binaries: | r-release: genderizeR_1.2.0.tgz |
| Old sources: | genderizeR archive |