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    New R Package: Data Science Looks at Discrimination (dsld)

    matloff发表于 2024-09-24 03:56:57
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    [This article was first published on Mad (Data) Scientist, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
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    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!

    To leave a comment for the author, please follow the link and comment on their blog: Mad (Data) Scientist.

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    Continue reading: New R Package: Data Science Looks at Discrimination (dsld)


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