Package: genderBR 1.3.0

genderBR: Predict Gender from Brazilian First Names

A generalized method to predict and report gender from Brazilian first names using the Brazilian Institute of Geography and Statistics' Census data and neural networks.

Authors:Fernando Meireles [aut, cre]

genderBR_1.3.0.tar.gz
genderBR_1.3.0.zip(r-4.7)genderBR_1.3.0.zip(r-4.6)genderBR_1.3.0.zip(r-4.5)
genderBR_1.3.0.tgz(r-4.6-any)genderBR_1.3.0.tgz(r-4.5-any)
genderBR_1.3.0.tar.gz(r-4.7-any)genderBR_1.3.0.tar.gz(r-4.6-any)
genderBR_1.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
genderBR/json (API)
NEWS

# Install 'genderBR' in R:

install.packages('genderBR', repos = c('https://meirelesff.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/meirelesff/genderbr/issues

On CRAN:

brazil gender ibge

5.46 score 66 stars 44 scripts 634 downloads 6 exports 32 dependencies

Last updated from:978f8bd46b. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	173
source / vignettes	OK	225
linux-release-x86_64	OK	163
macos-release-arm64	OK	148
macos-oldrel-arm64	OK	208
windows-devel	OK	101
windows-release	OK	109
windows-oldrel	OK	83
wasm-release	OK	109

Exports:clear_nn_cache download_gender_model get_gender get_gender_nn get_states map_gender

Dependencies:askpass bit bit64 callr cli coro curl data.table desc farver glue httr jsonlite labeling lifecycle magrittr mime openssl processx ps purrr R6 RColorBrewer Rcpp rlang safetensors scales sys torch vctrs viridisLite withr

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Clear the neural network in-memory cache	clear_nn_cache
Download neural network model files	download_gender_model
Predict gender from Brazilian first names	get_gender
Predict gender from Brazilian first names using a neural network	get_gender_nn
State's abbreviations	get_states
Map the use of Brazilian first names by gender and by state	map_gender