CRAN

additiveDEA 1.1

Additive Data Envelopment Analysis Models

Released Oct 2, 2017 by Andreas Diomedes Soteriades

This package can be loaded by Renjin but all tests failed.

Dependencies

Benchmarking 0.27 lpSolveAPI 5.5.2.0-17

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.

Installation

Maven

This package can be included as a dependency from a Java or Scala project by including the following your project's pom.xml file. Read more about embedding Renjin in JVM-based projects.

<dependencies>
  <dependency>
    <groupId>org.renjin.cran</groupId>
    <artifactId>additiveDEA</artifactId>
    <version>1.1-b13</version>
  </dependency>
</dependencies>
<repositories>
  <repository>
    <id>bedatadriven</id>
    <name>bedatadriven public repo</name>
    <url>https://nexus.bedatadriven.com/content/groups/public/</url>
  </repository>
</repositories>

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Renjin CLI

If you're using Renjin from the command line, you load this library by invoking:

library('org.renjin.cran:additiveDEA')

Test Results

This package was last tested against Renjin 0.9.2689 on Aug 27, 2018.

Source

R

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Release History