In this minor release, the genderBR package was improved in two ways. First, bugs and some minor issues were fixed, making the package’s functions more stable. Second, the package now contains an internal dataset with all the names reported by the IBGE’s Census that is used by the get_gender function to predict gender from Brazilian first names. Therefore, classifying a vector with more than 1,000 names takes no more than a few seconds now. Overall, these are the improvements:
NEWS.mdfile to track changes to the package.
get_genderfunction to work with internal data.