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gender 0.6.0

• Fixes installation problems with the move away from rOpenSci
• Removes the gender_df() function, which did not work properly.

gender 0.5.4

• update dependencies, and fix for dplyr 1.0.0
• update URL for rOpenSci CRAN-like repository

gender 0.5.3

• improvements to documentation
• improvements to testing when genderdata is available

gender 0.5.2

• bugfix for change in the genderize.io API (#50)

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.