Benchmarking: Benchmark and Frontier Analysis Using DEA and SFA

Methods for frontier analysis, Data Envelopment Analysis (DEA), under different technology assumptions (fdh, vrs, drs, crs, irs, add/frh, and fdh+), and using different efficiency measures (input based, output based, hyperbolic graph, additive, super, and directional efficiency). Peers and slacks are available, partial price information can be included, and optimal cost, revenue and profit can be calculated. Evaluation of mergers is also supported. Methods for graphing the technology sets are also included. There is also support comparative methods based on Stochastic Frontier Analyses (SFA). In general, the methods can be used to solve not only standard models, but also many other model variants. It complements the book, Bogetoft and Otto, Benchmarking with DEA, SFA, and R, Springer-Verlag, 2011, but can of course also be used as a stand-alone package.

Version: 0.26
Depends: lpSolveAPI, ucminf
Imports: methods, stats, graphics, grDevices
Published: 2015-07-08
Author: Peter Bogetoft and Lars Otto
Maintainer: Lars Otto <larsot23 at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: Benchmarking citation info
Materials: NEWS
CRAN checks: Benchmarking results


Reference manual: Benchmarking.pdf
Package source: Benchmarking_0.26.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: Benchmarking_0.26.tgz, r-oldrel: Benchmarking_0.24.tgz
OS X Mavericks binaries: r-release: Benchmarking_0.26.tgz
Old sources: Benchmarking archive

Reverse dependencies:

Reverse depends: Compind
Reverse imports: NCA, npbr