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| gender 0.5.1 | |
| ============================= | |
| * bugfix for some users who cannot install the `genderdata` package as binary | |
| gender 0.5.0 | |
| ============ | |
| * 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 | |
| gender 0.4.3 | |
| ============ | |
| * updates to README.md as requested by CRAN | |
| gender 0.4.2 | |
| ============ | |
| * bugfix: Kantrowitz method is now case-insensitive | |
| * updates to title and descriptions according to CRAN policy | |
| gender 0.4.1 | |
| ============ | |
| * 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 | |
| gender 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 | |
| gender 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 | |
| gender 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. | |
| gender 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 |