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DEA  

Data Envelopment Analysis
View on CRAN: Click here


Download and install DEA package within the R console
Install from CRAN:
install.packages("DEA")

Install from Github:
library("remotes")
install_github("cran/DEA")

Install by package version:
library("remotes")
install_version("DEA", "1.0.0")



Attach the package and use:
library("DEA")
Maintained by
David Bernstein
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-09
Latest Update: 2026-09-10
Description:
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).
How to cite:
David Bernstein (2026). DEA: Data Envelopment Analysis. R package version 1.0.0, https://cran.r-project.org/web/packages/DEA. Accessed 13 Oct. 2026.
Previous versions and publish date:
0.1-1 (2008-01-29 20:40), 0.1-2 (2008-02-19 09:42), (2026-07-09 08:01)
Other packages that cited DEA R package
View DEA citation profile
Other R packages that DEA depends, imports, suggests or enhances
Complete documentation for DEA
Functions, R codes and Examples using the DEA R package
Full DEA package functions and examples
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