Package: rMOST
Title: Estimates Pareto-Optimal Solution for Hiring with 3 Objectives
Version: 1.0.1
Authors@R: 
    c(person("Chelsea", "Song", , "qianqisong@gmail.com", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0003-0910-1281")),
           person("Yesuel", "Kim", , "kimyesuel97@gmail.com", role = "ctb",
           comment = c(ORCID = "0000-0002-8486-7693")))
Description: 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).
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.2.1
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Imports: graphics, grDevices, nloptr, stats
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-10-04 08:19:58 UTC; root
Author: Chelsea Song [aut, cre]
        (<https://orcid.org/0000-0003-0910-1281>), Yesuel Kim [ctb]
        (<https://orcid.org/0000-0002-8486-7693>)
Maintainer: Chelsea Song <qianqisong@gmail.com>
Config/pak/sysreqs: cmake
Repository: https://diversity-paretooptimal.r-universe.dev
Date/Publication: 2023-11-09 02:34:31 UTC
RemoteUrl: https://github.com/cran/rMOST
RemoteRef: HEAD
RemoteSha: 7c4eb385d92356dae923a3c71fb98a3e735a197f