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Implements Data Envelopment Analysis (DEA) with a hyperbolic orientation using a non-linear programming solver. It enables flexible estimations with weight restrictions, non-discretionary variables, and a generalized distance function. Additionally, it allows for the calculation of slacks and super-efficiency scores. The methods are detailed in Öttl et al. (2023), <doi:10.1016/j.dajour.2023.100343>. Furthermore, the package provides a non-linear profitability estimation built upon the DEA framework.
Version: | 1.0.2 |
Imports: | doParallel, dplyr, foreach, lpSolveAPI, nloptr, Benchmarking |
Suggests: | testthat (≥ 3.0.0) |
Published: | 2024-11-22 |
DOI: | 10.32614/CRAN.package.hyperbolicDEA |
Author: | Alexander Öttl [cre, aut], Daniel Gulde [aut] |
Maintainer: | Alexander Öttl <alexoettl34 at gmail.com> |
License: | MIT + file LICENSE |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | hyperbolicDEA results |
Reference manual: | hyperbolicDEA.pdf |
Package source: | hyperbolicDEA_1.0.2.tar.gz |
Windows binaries: | r-devel: hyperbolicDEA_1.0.2.zip, r-release: hyperbolicDEA_1.0.1.zip, r-oldrel: hyperbolicDEA_1.0.1.zip |
macOS binaries: | r-release (arm64): hyperbolicDEA_1.0.2.tgz, r-oldrel (arm64): hyperbolicDEA_1.0.2.tgz, r-release (x86_64): hyperbolicDEA_1.0.2.tgz, r-oldrel (x86_64): hyperbolicDEA_1.0.2.tgz |
Old sources: | hyperbolicDEA archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.