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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.
Getting started
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Package details |
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| Author | Kamil Wais [aut, cre] (<https://orcid.org/0000-0002-4062-055X>), Nathan VanHoudnos [ctb], John Ramey [ctb], Thomas Klebel [ctb] |
| Maintainer | Kamil Wais <kamil.wais@gmail.com> |
| License | MIT + file LICENSE |
| Version | 2.1.1 |
| URL | https://github.com/kalimu/genderizeR#readme https://kalimu.github.io/project/genderizer/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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