https://github.com/javierbarbero/DataEnvelopmentAnalysis.jl
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README.md
# DataEnvelopmentAnalysis.jl
![DataEnvelopmentAnalysis logo](docs/src/assets/wordmark.svg "DataEnvelopmentAnalysis logo")
A Julia package for efficiency and productivity measurement using Data Envelopment Analysis (DEA)
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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("DataEnvelopmentAnalysis")
```
## 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.
* Russell graph and oriented model.
* Enhanced Russell Graph Slack Based Measure.
* Modified directional distance function.
* Hölder distance function.
* Reverse directional distance function.
**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).
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