Package: genderBR 1.4.0

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_1.4.0.tar.gz
genderBR_1.4.0.zip(r-4.7-any)genderBR_1.4.0.zip(r-4.6-any)genderBR_1.4.0.zip(r-4.5-any)
genderBR_1.4.0.tgz(r-4.6-any)genderBR_1.4.0.tgz(r-4.5-any)
genderBR_1.4.0.tar.gz(r-4.7-any)genderBR_1.4.0.tar.gz(r-4.6-any)
genderBR_1.4.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
genderBR/json (API)

# 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:

Conda:

brazilgenderibge

5.64 score 66 stars 44 scripts 488 downloads 6 exports 16 dependencies

Last updated from:3b5addc30e. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK110
source / vignettesOK163
linux-releaseOK168
macos-releaseOK122
macos-oldrelOK96
windows-develOK66
windows-releaseOK77
windows-oldrelOK79
wasm-releaseOK106

Exports:clear_nn_cachedownload_gender_modelget_genderget_gender_nnget_statesmap_gender

Dependencies:askpassclicurldata.tablegluehttrjsonlitelifecyclemagrittrmimeopensslpurrrR6rlangsysvctrs