Last data update: 2014.03.03
|
gender
Package: gender
Type: Package
Title: Predict Gender from Names Using Historical Data
Version: 0.5.1
Date: 2015-09-03
Authors@R: c(person("Lincoln", "Mullen", role = c("aut", "cre"),
email = "lincoln@lincolnmullen.com"),
person("Cameron", "Blevins", role = "ctb"),
person("Ben", "Schmidt", role = "ctb"))
Description: Encodes gender based on names and dates of birth using historical
datasets. By using these datasets instead of lists of male and female names,
this package is able to more accurately guess the gender of a name, and it
is able to report the probability that a name was male or female.
URL: https://github.com/ropensci/gender
Depends: R (>= 3.0.0), utils, stats
Imports: dplyr (>= 0.4.2), httr (>= 1.0.0), jsonlite (>= 0.9.16)
Suggests: genderdata (>= 0.5.0), ggplot2 (>= 1.0.0), knitr (>= 1.11),
testthat (>= 0.10.0)
Additional_repositories: http://packages.ropensci.org
LazyData: yes
License: MIT + file LICENSE
VignetteBuilder: knitr
BugReports: https://github.com/ropensci/gender/issues
NeedsCompilation: no
Packaged: 2015-09-03 18:08:23 UTC; lmullen
Author: Lincoln Mullen [aut, cre],
Cameron Blevins [ctb],
Ben Schmidt [ctb]
Maintainer: Lincoln Mullen <lincoln@lincolnmullen.com>
Repository: CRAN
Date/Publication: 2015-09-04 07:42:15
●
0 images,
5 functions,
0 datasets
●
Reverse Depends: 0
Install log
* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'gender' ...
** package 'gender' successfully unpacked and MD5 sums checked
** R
** inst
** preparing package for lazy loading
** help
*** installing help indices
converting help for package 'gender'
finding HTML links ... done
check_genderdata_package html
gender-package html
gender html
gender_df html
install_genderdata_package html
** building package indices
** installing vignettes
** testing if installed package can be loaded
* DONE (gender)
Making 'packages.html' ... done
|