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Provides functions for calculating efficiency with two types of additive Data Envelopment Analysis models: (i) Generalized Efficiency Measures: unweighted additive model (Cooper et al., 2007 <doi:10.1007/978-0-387-45283-8>), Range Adjusted Measure (Cooper et al., 1999, <doi:10.1023/A:1007701304281>), Bounded Adjusted Measure (Cooper et al., 2011 <doi:10.1007/s11123-010-0190-2>), Measure of Inefficiency Proportions (Cooper et al., 1999 <doi:10.1023/A:1007701304281>), and the Lovell-Pastor Measure (Lovell and Pastor, 1995 <doi:10.1016/0167-6377(95)00044-5>); and (ii) the Slacks-Based Measure (Tone, 2001 <doi:10.1016/S0377-2217(99)00407-5>). The functions provide several options: (i) constant and variable returns to scale; (ii) fixed (non-controllable) inputs and/or outputs; (iii) bounding the slacks so that unrealistically large slack values are avoided; and (iv) calculating the efficiency of specific Decision-Making Units (DMUs), rather than of the whole sample. Package additiveDEA also provides a function for reducing computation time when datasets are large.
| Version: | 1.1 |
| Depends: | R (≥ 3.1.0), lpSolveAPI |
| Imports: | Benchmarking |
| Published: | 2017-10-02 |
| Author: | Andreas Diomedes Soteriades |
| Maintainer: | Andreas Diomedes Soteriades <andreassot10 at yahoo.com> |
| License: | GPL-2 |
| URL: | https://www.r-project.org |
| NeedsCompilation: | no |
| CRAN checks: | additiveDEA results |
| Reference manual: | additiveDEA.pdf |
| Package source: | additiveDEA_1.1.tar.gz |
| Windows binaries: | r-devel: additiveDEA_1.1.zip, r-release: additiveDEA_1.1.zip, r-oldrel: additiveDEA_1.1.zip |
| macOS binaries: | r-release (arm64): additiveDEA_1.1.tgz, r-oldrel (arm64): additiveDEA_1.1.tgz, r-release (x86_64): additiveDEA_1.1.tgz, r-oldrel (x86_64): additiveDEA_1.1.tgz |
| Old sources: | additiveDEA archive |
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