Other packages > Find by keyword >

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]
All associated links for this package
First Published: 2010-09-12
Latest Update: 2025-02-18
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 28 Oct. 2026.
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), (2026-07-09 07:58)
Other packages that cited Benchmarking R package
View Benchmarking citation profile
Other R packages that Benchmarking depends, imports, suggests or enhances
Complete documentation for Benchmarking
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

msamp  
Estimate Sample Size to Detect Bacterial Contamination in a Product Lot
Estimates the sample size needed to detect microbial contamination in a lot with a user-specified d ...
Download / Learn more Package Citations See dependency  
cats  
Cohort Platform Trial Simulation
Cohort plAtform Trial Simulation whereby every cohort consists of two arms, control and experimenta ...
Download / Learn more Package Citations See dependency  
NPHazardRate  
Nonparametric Hazard Rate Estimation
Provides functions and examples for histogram, kernel (classical, variable bandwidth and transformat ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
ncdf4  
Interface to Unidata netCDF (Version 4 or Earlier) Format Data Files
Provides a high-level R interface to data files written using Unidata's netCDF library (version 4 or ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,219

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA