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 |
| 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 binaries: | r-release: genderizeR_2.0.0.tgz, r-oldrel: genderizeR_2.0.0.tgz |
| Old sources: | genderizeR archive |
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