Estimates Pareto-Optimal Solution for Hiring with 3 Objectives

Estimates Pareto-optimal solution for personnel selection with 3 objectives using Normal Boundary Intersection (NBI) algorithm introduced by Das and Dennis (1998) . Takes predictor intercorrelations and predictor-objective relations as input and generates a series of solutions containing predictor weights as output. Accepts between 3 and 10 selection predictors. Maximum 2 objectives could be adverse impact objectives. Partially modeled after De Corte (2006) TROFSS Fortran program < https://users.ugent.be/~wdecorte/trofss.pdf> and updated from 'ParetoR' package described in Song et al. (2017) . For details, see Study 3 of Zhang et al. (2023).


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install.packages("rMOST")

1.0.1 by Chelsea Song, 3 years ago


Browse source code at https://github.com/cran/rMOST


Authors: Chelsea Song [aut, cre] , Yesuel Kim [ctb]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports graphics, grDevices, nloptr, stats

Suggests knitr, rmarkdown, testthat


See at CRAN