Diversity-ParetoOptimal/ParetoR: Estimates Pareto-Optimal solution for diversity hiring
Estimates Pareto-Optimal solution for diversity hiring by providing a series of Pareto-optimal solutions that simultaneously optimize both diversity and criterion validity in a personnel selection scenario [see Song, Wee, & Newman (2017)]. The current package allows for implementation of three Pareto-optimization approaches. (1) Pareto-optimal method that was adapted from De Corte, Lievens & Sackett (2007); (2) Pareto-optimal shrinkage formulae to estimate formula-adjusted shrunken Pareto-optimal solutions [see Study 1 of Song, Tang, Newman, & Wee (2023)]; (3) regularized Pareto-optimal method [see Study 2 of Song, Tang, Newman, & Wee (2023)].
Getting started
Browse package contents
Package details |
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| Author | Q. Chelsea Song [aut, cre] (<https://orcid.org/0000-0003-0910-1281>) |
| Maintainer | Q. Chelsea Song <qianqisong@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.2.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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