Package: additiveDEA 1.1
Andreas Diomedes Soteriades
additiveDEA: Additive Data Envelopment Analysis Models
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.
Authors:
additiveDEA_1.1.tar.gz
additiveDEA_1.1.tar.gz(r-4.5-noble)additiveDEA_1.1.tar.gz(r-4.4-noble)
additiveDEA_1.1.tgz(r-4.4-emscripten)additiveDEA_1.1.tgz(r-4.3-emscripten)
additiveDEA.pdf |additiveDEA.html✨
additiveDEA/json (API)
# Install 'additiveDEA' in R: |
install.packages('additiveDEA', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 years agofrom:6a72b2b3c0. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 20 2024 |
R-4.5-linux | NOTE | Nov 20 2024 |
Exports:dea.fastdea.gemdea.sbm
Dependencies:BenchmarkinglpSolveAPIquadprogRcppucminf