Vicente J. Bolos, Rafael Benitez, Vicente Coll-Serrano
arXiv 4 Jun 2025 · Econometrics
arXiv:2506.03766 · PDF · DOI · OpenAlex · Extracted main text
deaR is a recently developed R package for data envelopment analysis (DEA) that implements a large number of conventional and fuzzy models, along with super-efficiency models, cross-efficiency analysis, Malmquist index, bootstrapping, and metafrontier analysis. It should be noted that deaR is the only package to date that incorporates Kao-Liu, Guo-Tanaka and possibilistic fuzzy models. The versatility of the package allows the user to work with different returns to scale and orientations, as well as to consider special features, namely non-controllable, non-discretionary or undesirable variables. Moreover, it includes novel graphical representations that can help the user to display the results. This paper is a comprehensive description of deaR, reviewing all implemented models and giving examples of use.
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The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | P. Guo and H. Tanaka (2001) Fuzzy DEA: A perceptual evaluation method | 0.874 | 6 | 2 | 100% |
| 2 | L. Simar and P. W. Wilson (1998) Sensitivity analysis of efficiency scores: How to bootstrap in nonparametric frontier models | 0.874 | 5 | 2 | 100% |
| 3 | K. Tone (2001) A slacks-based measure of efficiency in data envelopment analysis | 0.874 | 5 | 2 | 100% |
| 4 | K. Tone (2009) Variations on the theme of slacks-based measure of efficiency in DEA | 0.874 | 5 | 2 | 100% |
| 5 | R. Färe and C. A. Knox Lovell (1978) Measuring the technical efficiency of production | 0.843 | 3 | 3 | 100% |
| 6 | W. W. Cooper, K. S. Park, and J. T. Pastor (1999) RAM: A range adjusted measure of inefficiency for use with additive models, and relations to other models and measures in DEA | 0.811 | 4 | 2 | 100% |
| 7 | W. W. Cooper, L. M. Seiford, and K. Tone (2007) Data Envelopment Analysis. A Comprehensive Text with Models, Applications, References and DEA-Solver Software | 0.811 | 4 | 2 | 100% |
| 8 | J. Doyle and R. Green (1994) Efficiency and cross-efficiency in DEA: Derivations, meanings and uses | 0.811 | 4 | 2 | 100% |
| 9 | K. Tone (2002) A slacks-based measure of super-efficiency in data envelopment analysis | 0.811 | 4 | 2 | 100% |
| 10 | J. Aparicio, J. L. Ruiz, and I. Sirvent (2007) Closest targets and minimum distance to the pareto-efficient frontier in DEA | 0.737 | 3 | 2 | 100% |
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