New R Package: Data Science Looks at Discrimination (dsld)
This article is originally published at https://matloff.wordpress.com
I’m very pleased to announce a new package, dsld, available on CRAN. This is the work of eight talented undergrad students. I provided the concept and some general guidance, but this is their work.
The package is aimed at dealing with discrimination — race, gender, age — in the workplace, education, health care and so on. It consists of analytical, graphical and tabular tools for:
- detection of discrimination
- addressing discriminatory predictive models
We hope the package will be useful in a variety of application venues, such as:
- inspiring motivation in statistics courses
- discrimination litigation
- internal HR audits
- social science research
The usefulness of the package is further enhanced by the availability of a free companion textbook. It uses dsld examples throughout, but its role is to explain the statistical concepts, not to serve as a user manual for the package.
One can acquire a good idea of the nature of the book by reading the example on law school admissions, pp. 34-43.
Needless to say, comments are welcome!
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This article is originally published at https://matloff.wordpress.com
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