The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
Statistical and graphical tools for exploring group differences and possible discrimination related to sensitive attributes such as race, gender, and age. Includes adjusted group comparisons, matching, distribution plots, and prediction methods that constrain sensitive-attribute influence or deweight selected predictors. Cross-validation supports comparison of prediction error and sensitive-attribute associations. Methods and teaching examples are described by Mittal et al. (2025) <doi:10.48550/arXiv.2411.04228>. Interfaces to the R implementation are also available for 'Python'.
| Version: | 2.0.0 |
| Depends: | R (≥ 3.5.0), fairml, gtools, regtools, qeML, rmarkdown |
| Imports: | Kendall, ranger, ggplot2, plotly, freqparcoord, sandwich |
| Suggests: | knitr, bnlearn, Matching, randomForest, cccp, CVXR |
| Published: | 2026-10-25 |
| DOI: | 10.32614/CRAN.package.dsld |
| Author: | Norm Matloff |
| Maintainer: | Aditya Mittal <mittalaa at uci.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, NEWS |
| CRAN checks: | dsld results |
| Reference manual: | dsld.html , dsld.pdf |
| Vignettes: |
Function List (source, R code) Quick Start (source, R code) |
| Package source: | dsld_2.0.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: dsld_2.0.0.zip, r-oldrel: dsld_2.0.0.zip |
| macOS binaries: | r-release (arm64): dsld_2.0.0.tgz, r-oldrel (arm64): dsld_2.0.0.tgz, r-release (x86_64): dsld_2.0.0.tgz, r-oldrel (x86_64): dsld_2.0.0.tgz |
| Old sources: | dsld archive |
Please use the canonical form https://CRAN.R-project.org/package=dsld to link to this page.
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.