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 |
| Maintainer: | Alexander Öttl <alexoettl34 at gmail.com> |
| License: | MIT + fileLICENSE |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | hyperbolicDEA results |
| Reference manual: | hyperbolicDEA.html ,hyperbolicDEA.pdf |
| Package source: | hyperbolicDEA_1.0.2.tar.gz |
| Windows binaries: | r-devel:hyperbolicDEA_1.0.2.zip, r-release:hyperbolicDEA_1.0.2.zip, r-oldrel:hyperbolicDEA_1.0.2.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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