DEA: Data Envelopment Analysis
Nonparametric efficiency measurement by data envelopment analysis.
Provides radial (Charnes-Cooper-Rhodes and Banker-Charnes-Cooper) technical
efficiency under constant, variable, non-increasing and non-decreasing
returns to scale, the slacks-based measure of Tone (2001), the additive
model of Charnes and others (1985), and the directional distance function
of Chambers, Chung and Fare (1996), all through one interface and one
result object. Efficiency estimates are accompanied by peers, slacks,
returns-to-scale classification, scale efficiency and the optimal
multipliers, and by bias-corrected estimates and confidence intervals from
the smoothed homogeneous bootstrap of Simar and Wilson (1998). Where
prices are known, cost, revenue and Nerlovian profit efficiency separate
the technical component from the allocative one; where they are not,
cross-efficiency with the secondary goals of Doyle and Green (1994) ranks
units that a self-appraisal leaves tied. This package succeeds the
archived 'DEA' package of Diaz-Martinez and Fernandez-Menendez (2008).
| Version: |
1.0.0 |
| Depends: |
R (≥ 4.0.0) |
| Imports: |
lpSolveAPI, stats, graphics, utils |
| Suggests: |
knitr, rmarkdown, testthat (≥ 3.0.0), Benchmarking, DJL, parallel, grDevices |
| Published: |
2026-09-10 |
| DOI: |
10.32614/CRAN.package.DEA |
| Author: |
David Bernstein 
[aut, cre],
Zuleyka Diaz-Martinez [aut],
Jose Fernandez-Menendez [aut] |
| Maintainer: |
David Bernstein <davebernstein1 at gmail.com> |
| BugReports: |
https://github.com/davidhbernstein/DEA/issues |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://www.davidharrybernstein.com/software,
https://github.com/davidhbernstein/DEA |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Citation: |
DEA citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
DEA results |
Documentation:
Downloads:
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