Changes in version 0.6.0 (2021-10-13) - Fixes installation problems with the move away from rOpenSci - Removes the gender_df() function, which did not work properly. Changes in version 0.5.4 (2020-05-15) - update dependencies, and fix for dplyr 1.0.0 - update URL for rOpenSci CRAN-like repository Changes in version 0.5.3 (2019-11-09) - improvements to documentation - improvements to testing when genderdata is available Changes in version 0.5.2 (2018-03-07) - bugfix for change in the genderize.io API (#50) Changes in version 0.5.1 (2015-09-04) - bugfix for some users who cannot install the genderdata package as binary Changes in version 0.5.0 (2015-08-22) - genderdata package is installed using install.packages() from the rOpenSci package repository instead of using install_github(). - all functions always return data frames - general performance improvements - calls to Genderize.io API no longer fail if the name does not exist - new function gender_df() efficiently applies gender() to data frames - add North Atlantic Population Project dataset for six European countries Changes in version 0.4.3 (2014-12-24) - updates to README.md as requested by CRAN Changes in version 0.4.2 (2014-12-03) - bugfix: Kantrowitz method is now case-insensitive - updates to title and descriptions according to CRAN policy Changes in version 0.4.1 (2014-09-29) - tests and vignettes run without depending on the genderdata package - users will be prompted to install the genderdata package from GitHub the first time that it is necessary - added a demo mode with a minimal dataset Changes in version 0.4 - data is now external to the gender package and is available in the genderdata package. - genderdata package can be installed with a new function Changes in version 0.3 - rewrote all functions to take only character vectors, not data frames, but provided instructions on how to use with data frames - wrote a vignette describing the data sources and explaining the historical methodology behind this package Changes in version 0.2 - implemented an ipums method that predicts gender before 1930 using U.S. Census data from IPUMS (contributed by Benjamin Schmidt). - upgraded dependency on dplyr to 0.2. Changes in version 0.1 - function gender implements gender lookup for names and data frames - implemented finding gender by using the Kantrowitz names corpus - implemented finding gender by using the national Social Security Administration data for names and dates of birth