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 ), Range Adjusted Measure (Cooper et al., 1999, ), Bounded Adjusted Measure (Cooper et al., 2011 ), Measure of Inefficiency Proportions (Cooper et al., 1999 ), and the Lovell-Pastor Measure (Lovell and Pastor, 1995 ); and (ii) the Slacks-Based Measure (Tone, 2001 ). 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.


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install.packages("additiveDEA")

1.1 by Andreas Diomedes Soteriades, 2 years ago


https://www.r-project.org


Browse source code at https://github.com/cran/additiveDEA


Authors: Andreas Diomedes Soteriades


Documentation:   PDF Manual  


GPL-2 license


Imports Benchmarking

Depends on lpSolveAPI


See at CRAN