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NEWS
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NEWS
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# genderizeR 2.1.1
## Major changes
* function findGivenNames() returns now a data frame always with additional column "country_id"
## Minor changes
* more robust unit tests
# genderizeR 2.0.1
## Major changes
* new parameters for findGivenNames() and genderizeAPI() ("country" and "language")
which allow for localized searches (thanks to @tklebel)
## Minor changes
* corrected typos and formulation in documentation files
* depracted function names are removed
* examples from help files are all chcecked to be working with the current package version
* updated DESCRIPTION file
* new CITATION file see citation('genderizeR')
# genderizeR 2.0.0
* parallel processing in genderizeTrain works properly under Linux now
* simple solution for caching results for findGivenNames()
* fix in misspelled name function (classificationErrors)
* small improvement in textPrepare() function
* updated and corrected help pages and function examples
* more comprehensive exemplary datasets description
* new more comprehensive set of unit tests
* small fixes and code cleaning
* more thorough unit tests
* updated README file
* added tutorial vignette
# genderizeR 1.2.1
* fix in function textPrepare (now works properly with initials at the end)
* documentation corrected
* code cleared
# genderizeR 1.2.0
* fix for changes in version 1.0.0 of httr package
# genderizeR 1.1.1
* small DESCRIPTION update
# genderizeR 1.1.0
* second CRAN release working with new API now
* RCurl package replaced by httr
* https connection fixed
* default queryLength set to 10
* small bug fixes
* implemented API authorization
* simple unit tests
* workaround with multi handle error when the API query is stopped by user
* added ssl.verifypeer option
# genderizeR 1.0.0.3
* ncol error fixed
* 'like' term works
# genderizeR 1.0.0.1
* https temporary fix
# genderizeR 1.0.0.0
* hotfixes and updates
* first CRAN release
# genderizeR 0.1.2.4
* training function with parallel version as well
# genderizeR 0.1.2.3
* dataset with titles sample
* dataset with first names and their gender data for the titles sample
# genderizeR 0.1.2.2
* dataset with authorships sample
* dataset with first names and their gender data for the authorships sample
# genderizeR 0.1.2.1
* improved progress monitoring
# genderizeR 0.1.1
* optional distributed corpus in textPrepare function
# genderizeR 0.0.1
* dev version building on GitHub