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Benchmarking  

Benchmark and Frontier Analysis Using DEA and SFA
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("Benchmarking", "0.33")



Attach the package and use:
library("Benchmarking")
Maintained by
Lars Otto
[Scholar Profile | Author Map]
First Published: 2010-09-12
Latest Update: 2022-11-04
Description:
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 for comparative methods based on Stochastic Frontier Analyses (SFA) and for convex nonparametric least squares of convex functions (STONED). 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.
How to cite:
Lars Otto (2010). Benchmarking: Benchmark and Frontier Analysis Using DEA and SFA. R package version 0.33, https://cran.r-project.org/web/packages/Benchmarking. Accessed 03 May. 2025.
Previous versions and publish date:
0.10 (2010-09-12 10:10), 0.14 (2010-10-21 12:48), 0.16 (2010-11-15 11:56), 0.17 (2010-12-03 09:32), 0.18 (2011-02-06 17:21), 0.19 (2011-04-15 12:29), 0.20 (2011-09-12 18:03), 0.21 (2012-08-15 13:06), 0.22 (2012-08-21 05:49), 0.23 (2013-01-20 18:25), 0.24 (2014-10-10 21:54), 0.26 (2015-07-08 17:44), 0.27 (2018-05-10 15:53), 0.28 (2019-12-18 22:40), 0.29 (2020-08-07 11:52), 0.30 (2022-05-05 17:20), 0.31 (2022-11-04 18:40), 0.32 (2024-03-13 16:00)
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