https://github.com/javierbarbero/DataEnvelopmentAnalysis.jl
Revision 8f227f20c74166e5aa23399d202c47a71c7d2efc authored by Javier Barbero on 01 October 2019, 17:54:41 UTC, committed by Javier Barbero on 01 October 2019, 17:54:41 UTC
Remove the parameters for seting a different reference set in economic efficiency models.
1 parent 9a86b52
Tip revision: 8f227f20c74166e5aa23399d202c47a71c7d2efc authored by Javier Barbero on 01 October 2019, 17:54:41 UTC
Remove reference sets in economic efficiency models.
Remove reference sets in economic efficiency models.
Tip revision: 8f227f2
README.md
# DataEnvelopmentAnalysis.jl
A Julia package for efficiency and productivity measurement using Data Envelopment Analysis (DEA)
| Build Status | Coverage |
|:-----------------:|:-----------:|
| [![][travis-img]][travis-url] | [![][coveralls-img]][coveralls-url] [![][codecov-img]][codecov-url] |
[travis-img]: https://travis-ci.org/javierbarbero/DataEnvelopmentAnalysis.jl.svg?branch=master
[travis-url]: https://travis-ci.org/javierbarbero/DataEnvelopmentAnalysis.jl
[coveralls-img]: https://coveralls.io/repos/github/javierbarbero/DataEnvelopmentAnalysis.jl/badge.svg?branch=master
[coveralls-url]: https://coveralls.io/github/javierbarbero/DataEnvelopmentAnalysis.jl?branch=master
[codecov-img]: https://codecov.io/gh/javierbarbero/DataEnvelopmentAnalysis.jl/branch/master/graph/badge.svg
[codecov-url]: https://codecov.io/gh/javierbarbero/DataEnvelopmentAnalysis.jl
DataEnvelopmentAnalysis.jl is a Julia package that provides functions for efficiency and productivity measurement using Data Envelopment Analysis (DEA). Particularly, it implements a variety of technical efficiency models, economic efficiency models and productivity change models.
The package is being developed for Julia `1.0` and above on Linux, macOS, and Windows.
The packes uses internally the [JuMP](https://github.com/JuliaOpt/JuMP.jl) modelling language for mathematicall optimization with solvers [GLPK](http://www.gnu.org/software/glpk/) and [Ipopt](https://coin-or.github.io/Ipopt/).
## Installation
The package can be installed with the Julia package manager:
```julia
julia> using Pkg; Pkg.add(PackageSpec(url = "https://github.com/javierbarbero/DataEnvelopmentAnalysis.jl", rev = "master"))
```
## Available models
**Technical efficiency DEA models**
* Radial input and output oriented model.
* Directional distance function model.
* Additive models: weighted additive model, measure of inefficiency proportions (MIP), normalized weighted additive model, range adjusted measure (RAM), bounded adjusted measure (BAM).
* Generalized distance function model.
**Economic efficiency DEA models**
* Cost model.
* Revenue model.
* Profit model.
* Profitability model.
**Productivity change models**
* Mamlmquist index.
## Authors
DataEnvelopmentAnalysis.jl is being developed by [Javier Barbero](http://www.javierbarbero.net) and [José Luís Zofío](http://www.joselzofio.net).
Computing file changes ...