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dsld: Data Science Looks at Discrimination

Statistical and graphical tools for detecting and measuring discrimination and bias, be it racial, gender, age or other. Detection and remediation of bias in machine learning algorithms. 'Python' interfaces available.

Version: 0.2.2
Depends: R (≥ 3.5.0), fairml, gtools, regtools, qeML, rmarkdown
Imports: Kendall, ranger, ggplot2, plotly, freqparcoord, fairness, sandwich
Suggests: knitr, bnlearn, Matching, randomForest
Published: 2024-09-13
DOI: 10.32614/CRAN.package.dsld
Author: Norm Matloff ORCID iD [aut, cre], Taha Abdullah [aut], Arjun Ashok [aut], Shubhada Martha [aut], Aditya Mittal [aut], Billy Ouattara [aut], Jonathan Tran [aut], Brandon Zarate Estrada [aut]
Maintainer: Norm Matloff <nsmatloff at ucdavis.edu>
BugReports: https://github.com/matloff/dsld/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/matloff/dsld
NeedsCompilation: no
Materials: README
CRAN checks: dsld results

Documentation:

Reference manual: dsld.pdf
Vignettes: Function List (source, R code)
Quick Start (source, R code)

Downloads:

Package source: dsld_0.2.2.tar.gz
Windows binaries: r-devel: dsld_0.2.2.zip, r-release: dsld_0.2.2.zip, r-oldrel: dsld_0.2.2.zip
macOS binaries: r-release (arm64): dsld_0.2.2.tgz, r-oldrel (arm64): dsld_0.2.2.tgz, r-release (x86_64): dsld_0.2.2.tgz, r-oldrel (x86_64): dsld_0.2.2.tgz

Linking:

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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.