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.
|Author||Kamil Wais [aut, cre] (<https://orcid.org/0000-0002-4062-055X>), Nathan VanHoudnos [ctb], John Ramey [ctb], Thomas Klebel [ctb]|
|Maintainer||Kamil Wais <email@example.com>|
|License||MIT + file LICENSE|
|Package repository||View on CRAN|
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