rMOST-package: rMOST: Estimates Pareto-Optimal Solution for Hiring with 3...
In rMOST: Estimates Pareto-Optimal Solution for Hiring with 3 Objectives
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rMOST: Estimates Pareto-Optimal Solution for Hiring with 3 Objectives
Description
Estimates Pareto-optimal solution for personnel selection with 3 objectives using Normal Boundary Intersection (NBI) algorithm introduced by Das and Dennis (1998) \Sexpr[results=rd]{tools:::Rd_expr_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) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1037/apl0000240")}. For details, see Study 3 of Zhang et al. (in press).
Author(s)
Maintainer: Chelsea Song qianqisong@gmail.com (ORCID)
Other contributors:
Yesuel Kim kimyesuel97@gmail.com (ORCID) [contributor]
rMOST documentation built on Nov. 9, 2023, 1:08 a.m.
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| rMOST-package | R Documentation |
rMOST: Estimates Pareto-Optimal Solution for Hiring with 3 Objectives
Description
Estimates Pareto-optimal solution for personnel selection with 3 objectives using Normal Boundary Intersection (NBI) algorithm introduced by Das and Dennis (1998) \Sexpr[results=rd]{tools:::Rd_expr_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) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1037/apl0000240")}. For details, see Study 3 of Zhang et al. (in press).
Author(s)
Maintainer: Chelsea Song qianqisong@gmail.com (ORCID)
Other contributors:
Yesuel Kim kimyesuel97@gmail.com (ORCID) [contributor]
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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