Package: rMOST 1.0.1

rMOST: 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) <doi:10.1137/S1052623496307510>. 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) <doi:10.1037/apl0000240>. For details, see Study 3 of Zhang et al. (2023).

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

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Last updated 10 months agofrom:7c4eb385d9. Checks:OK: 7. Indexed: yes.

Exports:MOSTParetoR_1C_2AIRParetoR_2CParetoR_2C_1AIRParetoR_3C

Dependencies:nloptr