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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).
Version: | 1.0.1 |
Imports: | graphics, grDevices, nloptr, stats |
Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
Published: | 2023-11-08 |
DOI: | 10.32614/CRAN.package.rMOST |
Author: | Chelsea Song |
Maintainer: | Chelsea Song <qianqisong at gmail.com> |
License: | MIT + file LICENSE |
NeedsCompilation: | no |
Citation: | rMOST citation info |
Materials: | NEWS |
CRAN checks: | rMOST results |
Reference manual: | rMOST.pdf |
Vignettes: |
rMOST-vignette |
Package source: | rMOST_1.0.1.tar.gz |
Windows binaries: | r-devel: rMOST_1.0.1.zip, r-release: rMOST_1.0.1.zip, r-oldrel: rMOST_1.0.1.zip |
macOS binaries: | r-release (arm64): rMOST_1.0.1.tgz, r-oldrel (arm64): rMOST_1.0.1.tgz, r-release (x86_64): rMOST_1.0.1.tgz, r-oldrel (x86_64): rMOST_1.0.1.tgz |
Old sources: | rMOST archive |
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