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 |