Benchmarking
Quelle: https://www.swmath.org/software/14630
DEA Software:
1. DEAOS - Data Envelopment Analysis On Line (a web based application) see: http://www.deaos.com/login.aspx?ReturnUrl¼%2fWelcome.aspx
2. 04-EMIS-05 DEA SOFTWARE TOOLS AND TECHNOLOGY – A State-ofthe-Art Survey - Richard S. Barr.
3. DEAFrontier by Joe Zhu, see: http://www.deafrontier.net/.
4. PIM-DEA Emrouznejad & Thanassoulis, see: http://www.deasoftware.co.uk/ AboutDevelopers.asp
5. DEAP – Tim Coelli at: http://www.owlnet.rice.edu/~econ380/DEAP.PDF
6. KonSi Data Envelopment Analysis DEA 5.1 – There are almost 7,000 downloads of this software: http://www.dea-analysis.com/.
7. DEA Solver-Pro – see: http://www.saitech-inc.com/Products/Prod-DSP.asp
8. Banxia Frontier Analyst Vs. 4 – http://www.banxia.com/frontier/
9. MaxDEA – A Chinese effort – http://www.maxdea.cn/.
10. Alta-Bering – EPO Software – http://altabering.com/epo-framework/software/
11. pyDEA – is a software package developed in Python for DEA use. Developers: Andrea Raith, Olga Perederieieva, Fariza Fauzi, Licensed: MIT license. https:// pypi.python.org/pypi/pyDEA
Quelle: https://link.springer.com/content/pdf/bbm%3A978-3-319-69725-3%2F1.pdf
© Springer International Publishing AG 2018 J.C. Paradi et al., Data Envelopment Analysis in the Financial Services Industry, International Series in Operations Research & Management Science 266, https://doi.org/10.1007/978-3-319-69725-3
Steinbeis-BI verwendet und empfiehlt das DEAP Programm von Tim Coelli. Download hier
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: | 0.27 |
| Depends: | lpSolveAPI, ucminf |
| Imports: | methods, stats, graphics, grDevices |
| Published: | 2018-05-10 |
| Author: | Peter Bogetoft and Lars Otto |
| Maintainer: | Lars Otto <larsot23 at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Citation: | Benchmarking citation info |
| Materials: | NEWS |
| CRAN checks: | Benchmarking results |
Downloads:
| Reference manual: | Benchmarking.pdf |
| Package source: | Benchmarking_0.27.tar.gz |
| Windows binaries: | r-devel: Benchmarking_0.27.zip, r-release: Benchmarking_0.27.zip, r-oldrel: Benchmarking_0.27.zip |
| OS X binaries: | r-release: Benchmarking_0.27.tgz, r-oldrel: Benchmarking_0.27.tgz |
| Old sources: | Benchmarking archive |
Reverse dependencies:
| Reverse depends: | Compind |
| Reverse imports: | additiveDEA, npbr |
Linking:
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