Last data update: 2014.03.03

genderizeR

Package: genderizeR
Type: Package
Title: Gender Prediction Based on First Names
Version: 2.0.0
Date: 2016-05-11
Authors@R: c(person("Kamil", "Wais", email = "kamil.wais@gmail.com", role =
c("aut", "cre")), person("Nathan", "VanHoudnos", role = "ctb"), person("John", "Ramey", role = "ctb"))
Description: 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.
License: MIT + file LICENSE
URL: https://github.com/kalimu/genderizeR,
http://www.wais.kamil.rzeszow.pl/genderizeR
BugReports: https://github.com/kalimu/genderizeR
Imports: stringr (>= 1.0.0), httr (>= 1.1.0), tm (>= 0.6-2), data.table
(>= 1.9.6), magrittr, parallel (>= 3.3.0), utils
Depends: R (>= 3.3.0)
Encoding: UTF-8
LazyData: true
Suggests: testthat, knitr, rmarkdown
RoxygenNote: 5.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-05-11 07:03:24 UTC; Kamil Wais
Author: Kamil Wais [aut, cre],
Nathan VanHoudnos [ctb],
John Ramey [ctb]
Maintainer: Kamil Wais <kamil.wais@gmail.com>
Repository: CRAN
Date/Publication: 2016-05-11 12:06:34

● 0 images, 11 functions, 4 datasets
● Reverse Depends: 0

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'genderizeR' ...
** package 'genderizeR' successfully unpacked and MD5 sums checked
** R
** data
*** moving datasets to lazyload DB
** inst
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'genderizeR'
    finding HTML links ... done
    authorships                             html  
    classificationErrors                    html  
    classificatonErrors                     html  
    findGivenNames                          html  
    genderize                               html  
    genderizeAPI                            html  
    genderizeBootstrapError                 html  
    genderizePredict                        html  
    genderizeR                              html  
    genderizeTrain                          html  
    givenNamesDB_authorships                html  
    givenNamesDB_titles                     html  
    numberOfNames                           html  
    textPrepare                             html  
    titles                                  html  
** building package indices
** installing vignettes
** testing if installed package can be loaded
* DONE (genderizeR)
Making 'packages.html' ... done