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additiveDEA  

Additive Data Envelopment Analysis Models
View on CRAN: Click here


Download and install additiveDEA package within the R console
Install from CRAN:
install.packages("additiveDEA")

Install from Github:
library("remotes")
install_github("cran/additiveDEA")

Install by package version:
library("remotes")
install_version("additiveDEA", "1.1")



Attach the package and use:
library("additiveDEA")
Maintained by
Andreas Diomedes Soteriades
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-08-02
Latest Update: 2017-10-02
Description:
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.
How to cite:
Andreas Diomedes Soteriades (2017). additiveDEA: Additive Data Envelopment Analysis Models. R package version 1.1, https://cran.r-project.org/web/packages/additiveDEA. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0 (2017-08-02 01:11)
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Complete documentation for additiveDEA
Functions, R codes and Examples using the additiveDEA R package
Some associated functions: dea.fast . dea.gem . dea.sbm . 
Some associated R codes: dea.fast.R . dea.gem.R . dea.sbm.R .  Full additiveDEA package functions and examples
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