genderBR v1.2.0
This is a minor update of the genderBR package that includes several improvements and, more importantly, support for Brazilian 2022 Census data. Changes in this version include:
- Added support for the 2022 IBGE names API through a new
yearargument inget_gender, which allows users to access the most recent data for gender prediction in Brazil for both the national and state levels. Code changes do not break backward compatibility. - Updated the default year in
get_genderto 2022. - Internal dataset
nomesnow provides probabilities for both 2010 and 2022, enabling offline predictions and threshold tuning for either year wheninternal = TRUE. - Removed the
magrittrdependency by switching to R's native pipe (requiring R 4.1.0 or higher). - Replaced
dplyr/tibblejoins with adata.tablebackend to speed up internal merges and reduce dependencies. - Updated and added new tests to ensure no errors when using 2022 data.
- Improved documentation and examples to reflect the new functionality and changes.
- Added a new section in the README discussing ethical considerations.