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: 2023-11-08 20:34:13 UTC; kimye
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>
Repository: CRAN
Date/Publication: 2023-11-08 23:00:02 UTC
Built: R 4.6.0; ; 2026-04-27 02:09:59 UTC; unix
