R Observatory: Metrics for genderizeR version 2.1.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2019-09-24. Its history is shown below.

Reason: check problems were not corrected in time

Details below reflect version 2.1.1, its last release before removal.

genderizeR

2.1.1

Gender Prediction Based on First Names

0packages depend

–downloads / year

–test coverage

–checks pass

Overview

About

Maintained by Kamil Wais6 releasesCRAN page ↗GitHub ↗

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.

Install

R (source archive)pak (dev)

url <- "https://cran.r-project.org/src/contrib/Archive/genderizeR/genderizeR_2.1.1.tar.gz"
pkgFile <- "genderizeR_2.1.1.tar.gz"
download.file(url, pkgFile)
install.packages(pkgFile, type = "source", repos = NULL)

This package is no longer on CRAN, so install.packages() cannot fetch it by name. This downloads the last archived source (2.1.1) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("kalimu/genderizeR")

Development version from kalimu/genderizeR. Installs pak first if it is not already available.

Health

CRAN checks

CRAN check results are not tracked yet.

Code health

Yes

Tests · ratio 0.11

not tracked

Coverage

100%

Documentation · exports

7

Dependencies · direct

Documentation

READMEYes · 324 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 25%
Documented parameters: 100%
Return-value docs: 100%
References docs: 0%

Downloads

genderizeR Releases R versions

Daily download trend is not available in this view yet.

Compare downloads with other packages →

Also on64 c2d4u

Dependencies

Declared dependencies

8 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.3.0

Imports (7)

stringr httr tm data.table magrittrparallelutils

LinkingTo (0)

none

Suggests (3)

testthat knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (4)

Maintainer (1)

Kamil Wais

Author, Maintainer

Authors (1)

Kamil Wais

Author, Maintainer

Contributors (3)

Nathan VanHoudnos

Contributor · added in 2.0.0

John Ramey

Contributor · added in 2.0.0

Thomas Klebel

Contributor · added in 2.1.0

Package Timeline

6 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.0.0 released · 2020-04-24
archivedRemoved from CRAN
2019-09-24
check problems were not corrected in time
2.1.1
2019-08-04 · diff ↗
unarchivedReturned to CRAN
2019-08-04
archivedRemoved from CRAN
2019-08-03
check problems were not corrected in time
R
R 3.6.0 released · 2019-04-26
2.1.0
2019-03-11 · diff ↗
R
R 3.5.0 released · 2018-04-23
R
R 3.4.0 released · 2017-04-21
2.0.0
2016-05-11 · diff ↗
R
R 3.3.0 released · 2016-05-03
1.2.0
2015-07-03 · diff ↗
1.1.0
2015-04-20 · diff ↗
R
R 3.2.0 released · 2015-04-16
1.0.0
2014-09-12
R
R 3.1.0 released · 2014-04-10

Package metadata

Total releases: 6
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.3.0
Bundled data: 119 KB / 4 files
Download size: not tracked yet
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("genderizeR")

Format

Wais, K., VanHoudnos, N., Ramey, J., & Klebel, T. (n.d.). genderizeR: Gender Prediction Based on First Names (Version 2.1.1) [Computer software]. Retrieved August 13, 2026, from https://CRAN.R-project.org/package=genderizeR

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for genderizeR version 2.1.1 [Data set]. HJJB, LLC. Data release v2026-08-11. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-11, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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